Triple

T15623913
Position Surface form Disambiguated ID Type / Status
Subject Kayla Silverfox E375631 entity
Predicate loveInterestOf P7325 FINISHED
Object James Howlett E119393 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: James Howlett | Statement: [Kayla Silverfox, loveInterestOf, James Howlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Howlett
Context triple: [Kayla Silverfox, loveInterestOf, James Howlett]
  • A. Wolverine
    Wolverine is a higher-speed Amtrak passenger train service that operates multiple daily routes between Chicago, Detroit, and Pontiac in the Midwestern United States.
  • B. Wolverine
    Wolverine is a fierce, small but powerful mammal known for its strength, tenacity, and association with toughness in sports and popular culture.
  • C. Wolverine chosen
    Wolverine is a popular Marvel Comics mutant superhero known for his retractable adamantium claws, accelerated healing factor, and membership in the X-Men.
  • D. Logan Cale
    Logan Cale is a central character from the cyberpunk TV series "Dark Angel," known as a wealthy, idealistic cyber-journalist and underground resistance leader who aids the protagonist Max.
  • E. Wolverine Wildcat
    Wolverine Wildcat is a classic wooden roller coaster located at the Michigan’s Adventure amusement park in Muskegon, Michigan.
  • 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_69ff678a9fac81908030726054ff5a99 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.