Triple

T21490448
Position Surface form Disambiguated ID Type / Status
Subject Fair Game E530221 entity
Predicate hasTitle P38 FINISHED
Object Fair Game NE NERFINISHED

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: [Fair Game, hasTitle, Fair Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fair Game
Context triple: [Fair Game, hasTitle, 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. Playing the Game
    "Playing the Game" is a musical number from the stage adaptation of Mary Poppins that explores themes of childhood, imagination, and emotional growth.
  • D. 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.
  • 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 (2 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.