Triple

T13212901
Position Surface form Disambiguated ID Type / Status
Subject Sable E314537 entity
Predicate ringName P20821 FINISHED
Object Sable E314537 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: Sable | Statement: [Sable, ringName, Sable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sable
Context triple: [Sable, ringName, Sable]
  • A. Sable chosen
    Sable is a former professional wrestling valet, model, and WWE Diva best known for her prominent role in the WWF/WWE during the late 1990s.
  • B. Sable
    Sable is a shy, hard-working hedgehog in the Animal Crossing series who runs the Able Sisters tailor shop and gradually opens up to the player through daily conversations.
  • C. Tigern
    Tigern was a warship that took part in the early 17th-century naval Battle of Oliwa between the Polish–Lithuanian Commonwealth and Sweden.
  • D. Badger
    Badger is a wise, kind, and somewhat reclusive character from Kenneth Grahame’s "The Wind in the Willows," known for offering guidance and shelter to his woodland friends.
  • E. Badger
    Badger is a small town in central Newfoundland and Labrador, Canada, known historically for its logging industry and proximity to the Exploits River.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9f0f148190a0698ef27573c885 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f6136270819093256a143d2c9e65 completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:17 p.m.