Triple

T36303880
Position Surface form Disambiguated ID Type / Status
Subject Hawkette E893892 entity
Predicate relatedAliasOfUser P108483 FINISHED
Object Hawkeye (Kate Bishop) E257930 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: Hawkeye (Kate Bishop) | Statement: [Hawkette, relatedAliasOfUser, Hawkeye (Kate Bishop)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedAliasOfUser
Context triple: [Hawkette, relatedAliasOfUser, Hawkeye (Kate Bishop)]
  • A. notableUserAlias
    Indicates that a user is known or recognized by a particular alternate name or alias.
  • B. relatedIdentity
    Indicates that two identities are connected or associated with each other in some meaningful way, such as being alternate, linked, or otherwise contextually related.
  • C. hasAliasUser chosen
    Indicates that a user is known or referred to by an alternative name or identifier.
  • D. associatedName
    Indicates that one entity has an alternative or related name that is linked or connected to another entity.
  • E. associatedRecordLabelOfUser
    Indicates that a particular record label is linked or connected to a given user.
  • F. None of above.

Provenance (4 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_69f76e4c1b248190b10667d0213537fe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c8d06cc8190ab6a5e18d9d2571e completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c3f50c4481909aef4c60f5be52a8 completed June 22, 2026, 11:23 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:09 p.m.