Triple

T10592138
Position Surface form Disambiguated ID Type / Status
Subject Brownsville, Tennessee E250017 entity
Predicate hasNotablePerson P304 FINISHED
Object Anna Mae Bullock E252280 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: Anna Mae Bullock | Statement: [Brownsville, Tennessee, hasNotablePerson, Anna Mae Bullock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Mae Bullock
Context triple: [Brownsville, Tennessee, hasNotablePerson, Anna Mae Bullock]
  • A. Anna Mae Bullock chosen
    Anna Mae Bullock is the birth name of Tina Turner, the iconic American-born singer and performer known as the "Queen of Rock 'n' Roll."
  • B. Laila Bullock
    Laila Bullock is the adopted daughter of American actress Sandra Bullock.
  • C. Angelica Bullock
    Angelica Bullock is the eccentric, status-conscious matriarch of the wealthy Bullock family in the classic screwball comedy film "My Man Godfrey."
  • D. Cornelia Bullock
    Cornelia Bullock is a spoiled, scheming socialite and one of the wealthy Bullock daughters in the classic screwball comedy film "My Man Godfrey."
  • E. Carol Bridger
    Carol Bridger is a fictional character known primarily as the late wife of Captain Nathan Bridger in the science fiction television series "seaQuest DSV."
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5277c79808190acc872919eadd126 completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e85c49c8190a580536be07c0405 completed April 10, 2026, 8:33 p.m.
Created at: April 6, 2026, 12:40 p.m.