Triple

T23515703
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Chartier E574356 entity
Predicate notableCollaboration P8554 FINISHED
Object Mark Boal 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: Mark Boal | Statement: [Nicholas Chartier, notableCollaboration, Mark Boal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Boal
Context triple: [Nicholas Chartier, notableCollaboration, 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. Josh Nichols
    Josh Nichols is a quirky, responsible teenager and one of the two titular stepbrother protagonists in the Nickelodeon sitcom "Drake & Josh."
  • C. 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."
  • D. 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.
  • E. Jeff Nichols
    Jeff Nichols is an American filmmaker known for his character-driven, atmospheric dramas such as "Take Shelter," "Mud," and "Midnight Special."
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa81ab4c8190b85c8f80754020ea completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.