Triple

T3172802
Position Surface form Disambiguated ID Type / Status
Subject Joe Carnahan E66392 entity
Predicate directed P7373 FINISHED
Object The Grey E178796 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: The Grey | Statement: [Joe Carnahan, directed, The Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Grey
Context triple: [Joe Carnahan, directed, The Grey]
  • A. The Grey chosen
    The Grey is a 2011 survival thriller film in which Liam Neeson plays an oil-rig worker leading stranded men through the Alaskan wilderness while being hunted by a pack of wolves.
  • B. The Hunt
    The Hunt is a BBC nature documentary series that explores the dramatic strategies predators and prey use to survive in the wild.
  • C. Marrowbone
    Marrowbone is a 2017 psychological horror-thriller film about a group of siblings hiding dark family secrets in a decaying rural mansion.
  • D. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • E. The Black
    The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada66facf881908b9ec687d68ce91b completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b66b3e081908e8ea11d9b36e50a completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.