Triple

T7713567
Position Surface form Disambiguated ID Type / Status
Subject Ava Gardner E174824 entity
Predicate sibling P363 FINISHED
Object Raymond Gardner E174824 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: Raymond Gardner | Statement: [Ava Gardner, sibling, Raymond Gardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raymond Gardner
Context triple: [Ava Gardner, sibling, Raymond Gardner]
  • A. Raymond Gardner chosen
    Raymond Gardner was the brother of famed American actress Ava Gardner, a member of the Gardner family from rural North Carolina.
  • B. J. Peter Robinson
    J. Peter Robinson is a British composer, arranger, and keyboardist known for his film and television scores as well as his work in rock and jazz fusion.
  • C. Clifford May
    Clifford May is an American journalist and foreign policy analyst best known as the founder and president of the Foundation for Defense of Democracies.
  • D. Louis Davenport
    Louis Davenport was a prominent early 20th-century hotelier and businessman best known for founding and developing the luxury Davenport Hotel in Spokane, Washington.
  • E. Robert Fletcher
    Robert Fletcher was an American costume designer best known for creating the iconic uniforms and outfits for the early Star Trek films.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ca8f048190a6ea27b8cee2f93e completed March 27, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acd3e9f88190adf42ab42c21b722 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:04 p.m.