Triple

T16069329
Position Surface form Disambiguated ID Type / Status
Subject King Kong vs. Godzilla E389816 entity
Predicate leadHumanCharacter P12814 FINISHED
Object Mr. Tako
Mr. Tako is the ambitious and comically overzealous television executive who drives the scheme to pit King Kong against Godzilla in the film "King Kong vs. Godzilla."
E1192904 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mr. Tako | Statement: [King Kong vs. Godzilla, leadHumanCharacter, Mr. Tako]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Tako
Context triple: [King Kong vs. Godzilla, leadHumanCharacter, Mr. Tako]
  • A. Yojiro
    Yojiro is a Japanese given name commonly used for males.
  • B. Tadashi
    Tadashi is a Japanese masculine given name commonly borne by notable figures in business, sports, and the arts.
  • C. Tetsuya
    Tetsuya is a masculine Japanese given name commonly used for men in Japan and among Japanese communities worldwide.
  • D. Rikichi
    Rikichi is a Japanese masculine given name that can be borne by various real or fictional individuals.
  • E. Pigfoot
    Pigfoot is a colloquial term for a pig’s trotter, often referenced in African American blues and jazz culture as a symbol of down-home, working-class food and good times.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr. Tako
Triple: [King Kong vs. Godzilla, leadHumanCharacter, Mr. Tako]
Generated description
Mr. Tako is the ambitious and comically overzealous television executive who drives the scheme to pit King Kong against Godzilla in the film "King Kong vs. Godzilla."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Tako
Target entity description: Mr. Tako is the ambitious and comically overzealous television executive who drives the scheme to pit King Kong against Godzilla in the film "King Kong vs. Godzilla."
  • A. Yojiro
    Yojiro is a Japanese given name commonly used for males.
  • B. Tadashi
    Tadashi is a Japanese masculine given name commonly borne by notable figures in business, sports, and the arts.
  • C. Tetsuya
    Tetsuya is a masculine Japanese given name commonly used for men in Japan and among Japanese communities worldwide.
  • D. Rikichi
    Rikichi is a Japanese masculine given name that can be borne by various real or fictional individuals.
  • E. Pigfoot
    Pigfoot is a colloquial term for a pig’s trotter, often referenced in African American blues and jazz culture as a symbol of down-home, working-class food and good times.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leadHumanCharacter
Context triple: [King Kong vs. Godzilla, leadHumanCharacter, Mr. Tako]
  • A. leadCharacterStatus
    Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
  • B. ledByCharacter
    Indicates that an event, group, or activity is directed or guided by a specific character.
  • C. character1 chosen
    Indicates that the subject is identified as the first or primary character in a narrative or context.
  • D. leadCharacterActivity
    Indicates that an activity is performed by, associated with, or characteristic of the lead character in a narrative or work.
  • E. leadCharacterColor
    Indicates that one entity is the primary character and the other specifies the color associated with that lead character.
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1858a00888190b8505071575dc56f completed April 17, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe4827cd48190aa470c6537e72508 completed May 10, 2026, 1:50 a.m.
NEDg Description generation batch_69ffe6c956a48190845faac983b9a064 completed May 10, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69ffe7387b38819094e55ae14ec2c036 completed May 10, 2026, 2:02 a.m.
PD Predicate disambiguation batch_69e18272f2288190a17d45fb01cc2b07 completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 4:57 a.m.