Triple

T12669696
Position Surface form Disambiguated ID Type / Status
Subject John Wood E302643 entity
Predicate portrayedIn P626 FINISHED
Object WarGames E604858 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: WarGames | Statement: [John Wood, portrayedIn, WarGames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WarGames
Context triple: [John Wood, portrayedIn, WarGames]
  • A. WarGames chosen
    WarGames is a 1983 Cold War-era science fiction thriller film about a teenage hacker who unwittingly accesses a U.S. military supercomputer and nearly triggers global nuclear war.
  • B. The War Games
    The War Games is a classic 1969 Doctor Who serial, co-written by Terrance Dicks, that marks the Second Doctor’s final regular appearance and introduces the Time Lords.
  • C. Dogfight
    Dogfight is a stage musical with music and lyrics by Benj Pasek and Justin Paul, adapted from the 1991 film about a Marine’s last night before deployment in 1963 San Francisco.
  • D. The War Game
    The War Game is a 1965 British pseudo-documentary film directed by Peter Watkins that depicts the devastating effects of a nuclear attack on the United Kingdom.
  • E. Red Storm
    Red Storm is the athletic mascot and team identity representing Saranac Lake High School’s sports programs.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719fb8bc8190b581a7fcfb252404 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.