Triple

T6555625
Position Surface form Disambiguated ID Type / Status
Subject Sydney Pollack E152438 entity
Predicate actedIn P1668 FINISHED
Object The Player E185807 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: The Player | Statement: [Sydney Pollack, actedIn, The Player]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Player
Context triple: [Sydney Pollack, actedIn, The Player]
  • A. The Player (1992 film) chosen
    The Player (1992 film) is a satirical Hollywood black comedy directed by Robert Altman that follows a movie studio executive who becomes entangled in crime and paranoia after receiving threatening messages from a rejected screenwriter.
  • B. Игрок
    «Игрок» — роман Фёдора Достоевского о разрушительной страсти к азартным играм и психологической зависимости.
  • C. Le Joueur
    Le Joueur is a satirical play by French poet and dramatist Jean-Baptiste Rousseau that critiques the destructive obsession with gambling.
  • D. Player One
    Player One is the elderly, seemingly frail contestant in the Netflix series "Squid Game" who is later revealed to be the secret mastermind behind the deadly competition.
  • E. The Fan
    The Fan is a 1996 psychological thriller film about an obsessive baseball fan whose fixation on his favorite player turns dangerously violent.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1c07cc819089c297edad943a57 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55707d081908104f08e1d59d603 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:51 p.m.