Triple

T13594858
Position Surface form Disambiguated ID Type / Status
Subject Bud Fox E324790 entity
Predicate moralConflictWith P76866 FINISHED
Object Gordon Gekko E64381 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: Gordon Gekko | Statement: [Bud Fox, moralConflictWith, Gordon Gekko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Gekko
Context triple: [Bud Fox, moralConflictWith, Gordon Gekko]
  • A. Gordon Gekko chosen
    Gordon Gekko is a fictional, ruthlessly ambitious corporate raider and symbol of 1980s Wall Street greed from the film "Wall Street."
  • B. Logan Roy
    Logan Roy is the ruthless, aging media mogul and patriarch of the Roy family in the television series "Succession," whose control over his empire drives the show's central power struggles.
  • C. Eric Falkenstein
    Eric Falkenstein is a theater and film producer known for backing notable stage productions such as the play "Lucky Guy."
  • D. Lloyd Vogel
    Lloyd Vogel is the fictional, emotionally troubled journalist protagonist of the film "A Beautiful Day in the Neighborhood," whose life is transformed through his encounters with Fred Rogers.
  • E. Michael Milken
    Michael Milken is an American financier and philanthropist best known for pioneering the high-yield “junk bond” market and later founding influential economic and public policy initiatives.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb057f1c881909a3bb77c659a724a completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae1d1b08190ad07b159ac3eba4b completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:49 p.m.