Triple

T5019748
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Utley E112820 entity
Predicate spouse P13 FINISHED
Object Chase Utley E13215 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: Chase Utley | Statement: [Jennifer Utley, spouse, Chase Utley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chase Utley
Context triple: [Jennifer Utley, spouse, Chase Utley]
  • A. Chase Utley chosen
    Chase Utley is a former Major League Baseball second baseman best known as a cornerstone of the Philadelphia Phillies’ mid-2000s championship teams and one of the premier hitters at his position.
  • B. Ryan Howard
    Ryan Howard is a former Major League Baseball first baseman best known for his powerful home run hitting and MVP-winning career with the Philadelphia Phillies.
  • C. Keith Lieberthal
    Keith Lieberthal is an American attorney known publicly as the husband of actress Julianna Margulies.
  • D. Jimmy Rollins
    Jimmy Rollins is a former Major League Baseball shortstop best known for his long, accomplished career with the Philadelphia Phillies, where he won the 2007 NL MVP and helped lead the team to the 2008 World Series title.
  • E. George Merkle
    George Merkle was an American biochemist known for his work in molecular biology and contributions to understanding biochemical processes.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7342c62881909acb35849da8761c completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927bdfa481908a5face7b4fd7058 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:35 p.m.