Triple

T13304818
Position Surface form Disambiguated ID Type / Status
Subject Shirley Bennett E316909 entity
Predicate closeFriend P8712 FINISHED
Object Jeff Winger E257603 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: Jeff Winger | Statement: [Shirley Bennett, closeFriend, Jeff Winger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Winger
Context triple: [Shirley Bennett, closeFriend, Jeff Winger]
  • A. Jeff Winger chosen
    Jeff Winger is the charming, sarcastic former lawyer and de facto leader of the study group in the sitcom "Community."
  • B. Tom Haverford
    Tom Haverford is a flashy, entrepreneurial, and often self-absorbed government employee known for his humorous schemes and pop-culture obsessions in the sitcom Parks and Recreation.
  • C. Tracy Jordan
    Tracy Jordan is a wildly unpredictable, eccentric movie star and comedian on the television series "30 Rock," known for his outrageous behavior and absurd one-liners.
  • D. Toby Flenderson
    Toby Flenderson is the mild-mannered, often beleaguered Human Resources representative at Dunder Mifflin in the U.S. version of The Office, frequently serving as the target of Michael Scott’s disdain.
  • E. Rich Belcher
    Rich Belcher is a character from the animated film "Ron's Gone Wrong," depicted as a popular but shallow middle-school influencer whose actions highlight the darker side of social media culture.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a76adc8190ab9abcdb79a21ca8 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716e161008190a48275ef54225d56 completed May 3, 2026, 9:35 a.m.
Created at: April 9, 2026, 9:28 p.m.