Triple

T5751440
Position Surface form Disambiguated ID Type / Status
Subject Doug Liman E126860 entity
Predicate directed P7373 FINISHED
Object Fair Game E530221 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: Fair Game | Statement: [Doug Liman, directed, Fair Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fair Game
Context triple: [Doug Liman, directed, Fair Game]
  • A. Fair Game chosen
    Fair Game is a 2010 political thriller film about CIA operative Valerie Plame and the outing of her covert identity, co-written by screenwriter John-Henry Butterworth.
  • B. Fair Game (novel)
    Fair Game is a 1974 thriller novel by Paula Gosling, best known as the source material for multiple film adaptations, including the 1986 Sylvester Stallone movie "Cobra."
  • C. Caught in the Game
    Caught in the Game is a 1983 hard rock album by American band Survivor, known for its melodic rock sound and powerful vocals.
  • D. The Name of the Game
    "The Name of the Game" is a 1977 pop song by Swedish group ABBA, known for its melodic complexity and introspective lyrics.
  • E. The Name of the Game
    The Name of the Game is an American television series from the late 1960s and early 1970s that followed the lives of magazine publishing executives through rotating lead characters and storylines.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288a0ea8819091ac6f965471ceee completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a167f2508190a8dd507f237e771b completed March 23, 2026, 2:11 a.m.
Created at: March 22, 2026, 3:48 p.m.