Triple

T16256842
Position Surface form Disambiguated ID Type / Status
Subject Perske E394651 entity
Predicate hasVariant P455 FINISHED
Object Persky E394651 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: Persky | Statement: [Perske, hasVariant, Persky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persky
Context triple: [Perske, hasVariant, Persky]
  • A. Perche
    Perche is a historic rural region in northwestern France known for its rolling countryside, forests, and traditional manors.
  • B. Perske chosen
    Perske is the birth surname of American actress and cultural icon Lauren Bacall.
  • C. Perrito
    Perrito is an optimistic, talkative therapy dog who becomes Puss in Boots’ loyal companion in the animated film "Puss in Boots: The Last Wish."
  • D. Perrot
    Perrot is a variant form of the French surname Perrault, historically associated with French-speaking regions and families.
  • E. Peto
    Peto is a minor companion of Sir John Falstaff and Prince Hal in Shakespeare’s Henry IV plays, often depicted as a comic, roguish follower involved in their tavern escapades.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459b1624819086bf681075097235 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eebcfe481909822290d3a7b361c completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.