Triple

T12769024
Position Surface form Disambiguated ID Type / Status
Subject We Are Marshall E305197 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: [We Are Marshall, cinematographyBy, Shane Hurlbut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shane Hurlbut
Context triple: [We Are Marshall, 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54061dc8190849855f035d63300 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:28 p.m.