Triple

T4201523
Position Surface form Disambiguated ID Type / Status
Subject Clubber Lang E86076 entity
Predicate portrayedBy P1507 FINISHED
Object Mr. T E84003 NE FINISHED

How this triple was built (2 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. T | Statement: [Clubber Lang, portrayedBy, Mr. T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. T
Context triple: [Clubber Lang, portrayedBy, Mr. T]
  • A. Mr. T chosen
    Mr. T is an American actor and former professional wrestler best known for his tough-guy persona, distinctive mohawk and gold chains, and iconic roles in 1980s pop culture.
  • B. Mr. T
    Mr. T is the internal codename for the original Macintosh Plus personal computer developed by Apple in the mid-1980s.
  • C. Dick York
    Dick York was an American actor best known for originating the role of Darrin Stephens on the television series "Bewitched" and for his work in films and radio.
  • D. Charlie Tahan
    Charlie Tahan is an American actor known for his roles in films like "Charlie St. Cloud" and "Super Dark Times" and TV series such as "Ozark" and "Wayward Pines."
  • E. Rod Kimble
    Rod Kimble is the inept but determined amateur stuntman protagonist of the comedy film "Hot Rod," portrayed by Andy Samberg.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af037da30481908106b27a88d59140 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a14eda88190aaca14644c3e041a completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:49 p.m.