Triple

T9614157
Position Surface form Disambiguated ID Type / Status
Subject First Look Media E232176 entity
Predicate hasKeyPerson P256 FINISHED
Object Laura Poitras E101811 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: Laura Poitras | Statement: [First Look Media, hasKeyPerson, Laura Poitras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Poitras
Context triple: [First Look Media, hasKeyPerson, Laura Poitras]
  • A. Laura Poitras chosen
    Laura Poitras is an American documentary filmmaker and journalist best known for her work on U.S. surveillance and national security, including the Oscar-winning film "Citizenfour" about Edward Snowden.
  • B. Stacy Poitras
    Stacy Poitras is an American chainsaw sculptor and artist known for his large-scale wood carvings, particularly of bears and Western-themed figures.
  • C. David Pilger
    David Pilger is an individual notable enough to be recorded as a bearer of the surname Pilger, though no widely recognized public information about him is available.
  • D. Jennifer Fox
    Jennifer Fox is an American film and television producer known for her work on acclaimed projects such as the geopolitical thriller "Syriana."
  • E. Jennifer Fox
    Jennifer Fox is an American filmmaker and producer known for her autobiographical drama film "The Tale" and her work in documentary cinema.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaaa47881908d69381d4d11f49b completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d17958287081908e337bdbe9ea366f completed April 4, 2026, 8:49 p.m.
Created at: March 30, 2026, 8:09 p.m.