Triple

T15537296
Position Surface form Disambiguated ID Type / Status
Subject Keri Russell E370379 entity
Predicate notableWork P4 FINISHED
Object Antlers E619743 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: Antlers | Statement: [Keri Russell, notableWork, Antlers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antlers
Context triple: [Keri Russell, notableWork, Antlers]
  • A. Antlers chosen
    Antlers is a 2021 supernatural horror film that follows a small-town teacher and her sheriff brother as they uncover a terrifying secret involving one of her students and a mythic creature.
  • B. Antlers
    Antlers is a minor noble seat and settlement in the Crownlands of Westeros, held by House Buckwell in the world of A Song of Ice and Fire.
  • C. The Moose
    "The Moose" is the famous nickname of Mark Messier, the Hall of Fame NHL forward renowned for his leadership, physical play, and multiple Stanley Cup championships.
  • D. L’Ours
    L’Ours is a 1988 French adventure drama film directed by Jean-Jacques Annaud that follows the story of a young orphaned bear cub and an adult grizzly in the wild.
  • E. L’Ours
    L’Ours is the nickname of French football club AC Ajaccio, evoking the strength and rugged character associated with the island of Corsica.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0442f3c688190a599165e526af2ed completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d626e688190bd93481cfd6cb255 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:06 a.m.