Triple

T5925345
Position Surface form Disambiguated ID Type / Status
Subject Marc Streitenfeld E131796 entity
Predicate workedOn P3 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: [Marc Streitenfeld, workedOn, The Grey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Grey
Context triple: [Marc Streitenfeld, workedOn, 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. The Hunt
    "The Hunt" is a dramatic, percussive cue from Jerry Goldsmith’s iconic 1968 Planet of the Apes film score, known for its avant-garde orchestration and intense, primal energy.
  • D. Marrowbone
    Marrowbone is a 2017 psychological horror-thriller film about a group of siblings hiding dark family secrets in a decaying rural mansion.
  • E. Le Blaireau
    Le Blaireau is the famous nickname of Bernard Hinault, the legendary French cyclist and multiple Tour de France winner.
  • 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_69c0085b75e88190a632f9691f9da48b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03852806c81908ba726c16adf3358 completed March 22, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c04e5af8819095f15cfbc1f13c46 completed March 23, 2026, 4:23 a.m.
Created at: March 22, 2026, 4 p.m.