Triple

T15682201
Position Surface form Disambiguated ID Type / Status
Subject Sean Young E377604 entity
Predicate portrayedCharacter P1668 FINISHED
Object Kate Gekko in Wall Street E326172 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: Kate Gekko in Wall Street | Statement: [Sean Young, portrayedCharacter, Kate Gekko in Wall Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Gekko in Wall Street
Context triple: [Sean Young, portrayedCharacter, Kate Gekko in Wall Street]
  • A. Darien Taylor in Wall Street
    Darien Taylor is the ambitious and materialistic interior designer who becomes Bud Fox’s love interest in the 1987 film "Wall Street."
  • B. Carl Fox in Wall Street
    Carl Fox in "Wall Street" is the blue-collar, morally grounded father of Bud Fox whose integrity contrasts sharply with the film’s ruthless corporate culture.
  • C. Winnie Gekko
    Winnie Gekko is the daughter of fictional corporate raider Gordon Gekko in the "Wall Street" film series.
  • D. Kate Gekko chosen
    Kate Gekko is a character associated with the "Wall Street" film universe as the wife of the infamous corporate raider Gordon Gekko.
  • E. Gordon Gekko
    Gordon Gekko is a fictional, ruthlessly ambitious corporate raider and symbol of 1980s Wall Street greed from the film "Wall Street."
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f306a1c8190a819541a3cc51f5a completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.