Triple

T11922144
Position Surface form Disambiguated ID Type / Status
Subject Eddie Bernice Johnson E283681 entity
Predicate middleName P143 FINISHED
Object Bernice E79581 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: Bernice | Statement: [Eddie Bernice Johnson, middleName, Bernice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernice
Context triple: [Eddie Bernice Johnson, middleName, Bernice]
  • A. Bernice chosen
    Bernice is a feminine given name most notably borne by Bernice King, the daughter of civil rights leaders Martin Luther King Jr. and Coretta Scott King.
  • B. Bernice Steadman
    Bernice Steadman was an American aviator and one of the Mercury 13 women who underwent astronaut training in the early U.S. space program.
  • C. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Bernice Bourne
    Bernice Bourne is an individual known primarily for being among the notable people interred at Flushing Cemetery in Queens, New York.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e8e1b08481909ed291667035f330 completed April 10, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6344f8ee88190aae2b0052f296e19 completed May 2, 2026, 5:28 p.m.
Created at: April 8, 2026, 9:45 p.m.