Triple

T18835092
Position Surface form Disambiguated ID Type / Status
Subject Spencer Paysinger E460642 entity
Predicate basedOnSubjectOf P133095 FINISHED
Object character Spencer James in All American LITERAL 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: character Spencer James in All American | Statement: [Spencer Paysinger, basedOnSubjectOf, character Spencer James in All American]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnSubjectOf
Context triple: [Spencer Paysinger, basedOnSubjectOf, character Spencer James in All American]
  • A. basedOnSubject
    Indicates that something is derived from, influenced by, or determined according to a particular subject.
  • B. basedOnBy
    Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
  • C. isBasedOn
    Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
  • D. mayBeSubjectOf
    Indicates that an entity has the potential or possibility to serve as the subject in a given relation, event, or statement.
  • E. basedOnText
    Indicates that something is derived, adapted, or developed from a specific text source.
  • F. None of above. chosen

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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a99c1394819095c62eef040e552c completed April 20, 2026, 4:20 a.m.
PD Predicate disambiguation batch_69e48d1e7dac81909ea1e758c87773c5 completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e49785fd7081909577e90a55df0a35 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 11:56 a.m.