Triple

T11574646
Position Surface form Disambiguated ID Type / Status
Subject Carol Littleton E274471 entity
Predicate spouse P13 FINISHED
Object John Bailey E377587 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: John Bailey | Statement: [Carol Littleton, spouse, John Bailey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Bailey
Context triple: [Carol Littleton, spouse, John Bailey]
  • A. John Bailey chosen
    John Bailey is an American cinematographer renowned for his work on numerous acclaimed films, including the classic comedy "Groundhog Day."
  • B. Harry Robbins
    Harry Robbins "H. R." Haldeman was an American political aide who served as White House Chief of Staff to President Richard Nixon and became a central figure in the Watergate scandal.
  • C. John Dawson
    John Dawson is a fictional character named John Dawson who appears in the work featuring the character Dawn.
  • D. John Dawson
    John Dawson was an American lawyer and politician from Virginia who served as a delegate to the Continental Congress and later as a U.S. Congressman and diplomat in the early years of the United States.
  • E. John Dawson
    John Dawson was a pioneering American plasma physicist renowned for his foundational contributions to plasma theory and fusion research.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.