Triple

T11344138
Position Surface form Disambiguated ID Type / Status
Subject Pete Campbell E268674 entity
Predicate spouse P13 FINISHED
Object Trudy Campbell E492484 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: Trudy Campbell | Statement: [Pete Campbell, spouse, Trudy Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trudy Campbell
Context triple: [Pete Campbell, spouse, Trudy Campbell]
  • A. Trudy Campbell chosen
    Trudy Campbell is a recurring character on the television series "Mad Men," known as the ambitious and socially adept wife of advertising executive Pete Campbell.
  • B. Judy Campbell
    Judy Campbell was a British actress known for her stage and film work in the mid-20th century, particularly in plays by Noël Coward.
  • C. Patricia Campbell
    Patricia Campbell is known as the mother of Krystle Campbell, one of the victims of the 2013 Boston Marathon bombing.
  • D. Tricia Vessey
    Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
  • E. Laurie Partridge
    Laurie Partridge is the witty, independent teenage daughter and keyboardist in the musical sitcom family from the 1970s TV series "The Partridge Family."
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea1f9574819089760c5b5908f09e completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc30d72588190a1ebab7477c9e668 completed May 6, 2026, 10:39 p.m.
Created at: April 8, 2026, 9:33 p.m.