Triple

T13699923
Position Surface form Disambiguated ID Type / Status
Subject Johnny Mnemonic E328488 entity
Predicate character P662 FINISHED
Object Takahashi
Takahashi is a powerful corporate executive and primary antagonist in the cyberpunk film "Johnny Mnemonic."
E1127752 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: Takahashi | Statement: [Johnny Mnemonic, character, Takahashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takahashi
Context triple: [Johnny Mnemonic, character, Takahashi]
  • A. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • D. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • E. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • 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: Takahashi
Triple: [Johnny Mnemonic, character, Takahashi]
Generated description
Takahashi is a powerful corporate executive and primary antagonist in the cyberpunk film "Johnny Mnemonic."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Takahashi
Target entity description: Takahashi is a powerful corporate executive and primary antagonist in the cyberpunk film "Johnny Mnemonic."
  • A. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Wakatoshi
    Wakatoshi is a fictional volleyball player from the manga and anime series "Haikyuu!!", known as the powerful ace and captain of Shiratorizawa Academy.
  • D. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • E. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e72b9f08190a33e8e20541edd21 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7f9ea5848190af5edd6d2d22c117 completed May 9, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69fe7ff91dec8190aa9f0d42a8cd00e0 completed May 9, 2026, 12:29 a.m.
Created at: April 9, 2026, 9:54 p.m.