Triple

T2932694
Position Surface form Disambiguated ID Type / Status
Subject Peggy Wallace Kennedy E79190 entity
Predicate givenName P17 FINISHED
Object Peggy E132734 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 | Statement: [Peggy Wallace Kennedy, givenName, Peggy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peggy
Context triple: [Peggy Wallace Kennedy, givenName, Peggy]
  • A. Peggy chosen
    Peggy is a common diminutive or nickname for the given name Margaret.
  • B. Phyllis
    Phyllis is a tragic figure from classical legend, often depicted as a wronged lover who is transformed into an almond tree after being abandoned.
  • C. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • D. Patricia
    Patricia is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • E. Margaret “Peggy” Johnson
    Margaret “Peggy” Johnson was the longtime wife and political partner of U.S. Senator and 1964 Republican presidential nominee Barry Goldwater, supporting his public career and family life.
  • 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad983a4ae08190aa1aeb2747abd1a1 completed March 8, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f85c5e0c8190a91100aadb8b8806 completed March 11, 2026, 11:18 p.m.
Created at: March 8, 2026, 2:55 p.m.