Triple

T15623899
Position Surface form Disambiguated ID Type / Status
Subject Kayla Silverfox E375631 entity
Predicate basedOn P98 FINISHED
Object Silver Fox E508707 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: Silver Fox | Statement: [Kayla Silverfox, basedOn, Silver Fox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silver Fox
Context triple: [Kayla Silverfox, basedOn, Silver Fox]
  • A. Silver Fox
    Silver Fox is a golf course known for its challenging layout and scenic surroundings.
  • B. Silver Fox chosen
    Silver Fox is a Marvel Comics character, a skilled mutant and former lover of Wolverine who is often depicted as a tragic figure entangled in Weapon X–related conspiracies.
  • C. Gray Fox
    Gray Fox is a clandestine U.S. Army intelligence unit, formally known as the Intelligence Support Activity, that conducts highly classified signals and human intelligence operations in support of special operations forces.
  • D. Sly Fox
    Sly Fox is a comedic stage play by Larry Gelbart, adapted from Ben Jonson’s "Volpone," that satirizes greed and deception.
  • E. The Fox
    The Fox is a masked vigilante hero from early 20th-century California, best known for fighting injustice with cunning, swordplay, and a distinctive black costume and mask.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f3f65dc8190ac94db1d4d53d77f completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:14 a.m.