Triple

T516460
Position Surface form Disambiguated ID Type / Status
Subject Glenn Quagmire E10719 entity
Predicate friendOf P8712 FINISHED
Object Joe Swanson E27233 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: Joe Swanson | Statement: [Glenn Quagmire, friendOf, Joe Swanson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Swanson
Context triple: [Glenn Quagmire, friendOf, Joe Swanson]
  • A. Joe Swanson chosen
    Joe Swanson is a paraplegic, tough but good-hearted police officer and one of Peter Griffin’s closest friends in the animated sitcom "Family Guy."
  • B. Danny Archer
    Danny Archer is a fictional mercenary and diamond smuggler in the film "Blood Diamond," known for his morally conflicted role amid the Sierra Leone Civil War.
  • C. Frank Sullivan
    Frank Sullivan is an American college basketball coach best known for his long tenure leading the Harvard Crimson men's basketball program.
  • D. Mike Henry
    Mike Henry is an American actor, comedian, and writer best known for voicing characters such as Cleveland Brown on the animated television series Family Guy and its spin-off The Cleveland Show.
  • E. John Monk Saunders
    John Monk Saunders was an American novelist and Academy Award–winning screenwriter best known for his aviation-themed stories and the film "The Dawn Patrol."
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f3b7557c8190a29cf1de359ea2ea completed Feb. 28, 2026, 1:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b5d50c688190b0093af8870f6fdf completed March 1, 2026, 9:55 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.