Triple

T308517
Position Surface form Disambiguated ID Type / Status
Subject Stewie Griffin E6353 entity
Predicate hasSibling P363 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: [Stewie Griffin, hasSibling, Chris Griffin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Griffin
Context triple: [Stewie Griffin, hasSibling, 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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea3289608190a36c20a47761c6e4 completed Feb. 28, 2026, 1:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b475e91c8190b68b05a8112d35dd completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.