Triple

T15768860
Position Surface form Disambiguated ID Type / Status
Subject The Greatest Game Ever Played E382295 entity
Predicate cinematographyBy P1953 FINISHED
Object Shane Hurlbut E138142 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: Shane Hurlbut | Statement: [The Greatest Game Ever Played, cinematographyBy, Shane Hurlbut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shane Hurlbut
Context triple: [The Greatest Game Ever Played, cinematographyBy, Shane Hurlbut]
  • A. Shane Hurlbut chosen
    Shane Hurlbut is an American cinematographer known for his work on major Hollywood films and his influential role in advancing digital cinematography techniques.
  • B. Shane Boris
    Shane Boris is an Academy Award–winning American film producer known for his work on acclaimed documentaries such as "Navalny."
  • C. Michael Pitts
    Michael Pitts is a relatively common personal name shared by multiple individuals, including figures in fields such as politics, religion, and entertainment.
  • D. Shane Vendrell
    Shane Vendrell is a volatile and morally compromised detective on the TV series "The Shield," known for his loyalty to Vic Mackey and his descent into increasingly tragic and violent choices.
  • E. Scott Shane
    Scott Shane is an American academic and author renowned for his influential research in entrepreneurship and small business management.
  • 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_69d86da09a10819082fe9797b23e4664 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e051951bac8190a7d45f3612c6de72 completed April 16, 2026, 3:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb59779788190a393237f5293fe8d completed May 9, 2026, 10:30 p.m.
Created at: April 10, 2026, 4:47 a.m.