Triple

T246499
Position Surface form Disambiguated ID Type / Status
Subject Peter Griffin E5049 entity
Predicate child P120 FINISHED
Object Chris Griffin E25995 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: Chris Griffin | Statement: [Peter Griffin, child, Chris Griffin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Griffin
Context triple: [Peter Griffin, child, Chris Griffin]
  • A. Chris Griffin chosen
    Chris Griffin is the dim-witted yet good-hearted teenage son of the Griffin family in the animated television series Family Guy.
  • B. Reid
    Reid is a common Scottish and Irish surname that has been borne by numerous notable figures across fields such as science, politics, and the arts.
  • C. Jonathan Corwin
    Jonathan Corwin was a 17th-century Massachusetts magistrate best known as one of the judges who presided over the Salem witch trials.
  • D. Adam Walinsky
    Adam Walinsky is an American lawyer, speechwriter, and political advisor best known for his close work with Robert F. Kennedy during the 1960s.
  • E. Christian Chabot
    Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
  • 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_69a257c4bf688190a46ebbf411ab7473 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d13b8088190a3f48f0388d57496 completed Feb. 28, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36cf4d8608190bf3d33ee6b93aae0 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:54 a.m.