Triple

T5129380
Position Surface form Disambiguated ID Type / Status
Subject Yaphet Kotto E115658 entity
Predicate familyName P18 FINISHED
Object Kotto
Kotto is the surname of Yaphet Kotto, an American actor best known for his roles in films like "Alien" and the James Bond movie "Live and Let Die."
 E496050 NE FINISHED

How this triple was built (4 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: Kotto | Statement: [Yaphet Kotto, familyName, Kotto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kotto
Context triple: [Yaphet Kotto, familyName, Kotto]
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Seiji
    Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
  • C. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • D. Koichi
    Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
  • E. Shoichi Sakata
    Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
  • 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: Kotto
Triple: [Yaphet Kotto, familyName, Kotto]
Generated description
Kotto is the surname of Yaphet Kotto, an American actor best known for his roles in films like "Alien" and the James Bond movie "Live and Let Die."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kotto
Target entity description: Kotto is the surname of Yaphet Kotto, an American actor best known for his roles in films like "Alien" and the James Bond movie "Live and Let Die."
  • A. Shinya
    Shinya is a Japanese given name commonly used for males.
  • B. Seiji
    Seiji is a Japanese given name most famously associated with the renowned conductor Seiji Ozawa.
  • C. Takaichi
    Takaichi is a Japanese surname most prominently associated with conservative politician Sanae Takaichi.
  • D. Koichi
    Koichi is a Japanese given name commonly used for males and borne by various notable figures in fields such as science, politics, and entertainment.
  • E. Shoichi Sakata
    Shoichi Sakata was a prominent Japanese theoretical physicist known for his influential Sakata model of hadrons and his foundational contributions to particle physics in Japan.
  • F. None of above. chosen

Provenance (5 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7825facc8190b2a6c17216290b5c completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4c23d5c8190883a297254d9c80d completed March 21, 2026, 4:18 p.m.
NEDg Description generation batch_69bec6620aac8190a820190e7facd70a completed March 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_69bec70062f48190baae277e6f8c5c4e completed March 21, 2026, 4:27 p.m.
Created at: March 20, 2026, 1:42 p.m.