Triple

T23232459
Position Surface form Disambiguated ID Type / Status
Subject Jerry Allison E581194 entity
Predicate notableWork P4 FINISHED
Object Peggy Sue E390575 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: Peggy Sue | Statement: [Jerry Allison, notableWork, Peggy Sue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peggy Sue
Context triple: [Jerry Allison, notableWork, Peggy Sue]
  • A. Peggy Sue chosen
    "Peggy Sue" is a classic 1957 rock and roll song by Buddy Holly that became one of his most famous and enduring hits.
  • B. Peggy Sue Henry
    Peggy Sue Henry is known as the former wife of American businessman and Boston Red Sox principal owner John W. Henry.
  • C. Peggy
    Peggy is a common diminutive or nickname for the given name Margaret.
  • D. Peggy
    Peggy is a fictional character from Robert A. Heinlein’s science fiction novel "Farmer in the Sky," set during the colonization of Jupiter’s moon Ganymede.
  • E. Peggy
    Peggy is the fictional protagonist of Anthony Hope's 1902 novel "The Intrusions of Peggy," known for her spirited personality and involvement in a blend of mystery and social comedy.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192e70b2c8190abede6e3cd9344f7 completed April 29, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f577f5c8190a8c8bdf9bd5305f5 completed May 19, 2026, 10:45 a.m.
Created at: April 17, 2026, 4:09 p.m.