Triple

T15176126
Position Surface form Disambiguated ID Type / Status
Subject Colonel Reed (The Hurt Locker) E362612 entity
Predicate createdBy P806 FINISHED
Object Mark Boal E76088 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: Mark Boal | Statement: [Colonel Reed (The Hurt Locker), createdBy, Mark Boal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Boal
Context triple: [Colonel Reed (The Hurt Locker), createdBy, Mark Boal]
  • A. Mark Boal chosen
    Mark Boal is an American journalist, screenwriter, and producer best known for his Oscar-winning work on films like "The Hurt Locker" and "Zero Dark Thirty."
  • B. Paul Haggis
    Paul Haggis is a Canadian screenwriter, producer, and director best known for writing and directing the Academy Award–winning film "Crash" and co-writing "Million Dollar Baby."
  • C. Terence Winter
    Terence Winter is an American screenwriter and producer best known for his work on acclaimed television dramas such as The Sopranos and Boardwalk Empire.
  • D. Jeff Nichols
    Jeff Nichols is an American filmmaker known for his character-driven, atmospheric dramas such as "Take Shelter," "Mud," and "Midnight Special."
  • E. Scott Frank
    Scott Frank is an American screenwriter and director known for his work on acclaimed films such as "Out of Sight," "Minority Report," and the series "The Queen's Gambit."
  • 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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0066236d481909e8ac47f496861ad completed April 15, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec88e7ff481909e3d2b280689aeba completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:09 a.m.