Triple

T11410125
Position Surface form Disambiguated ID Type / Status
Subject Hannah Estey Burnet E270346 entity
Predicate name P16 FINISHED
Object Hannah Estey Burnet E270346 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: Hannah Estey Burnet | Statement: [Hannah Estey Burnet, name, Hannah Estey Burnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah Estey Burnet
Context triple: [Hannah Estey Burnet, name, Hannah Estey Burnet]
  • A. Hannah Estey Burnet chosen
    Hannah Estey Burnet was the wife of David G. Burnet, the first president of the Republic of Texas, and a member of an early prominent Texas family.
  • B. Lillian Burns
    Lillian Burns was an American acting and dialogue coach and studio executive best known for her influential work at MGM during Hollywood’s Golden Age.
  • C. Ella Burton Stewart
    Ella Burton Stewart was a woman significant enough in local history that the town of Ellaville, Georgia, was named in her honor.
  • D. Sarah Hildreth Butler
    Sarah Hildreth Butler was an American stage actress and the politically influential wife of Union general and politician Benjamin F. Butler.
  • E. Ruth Storey
    Ruth Storey was an American actress active in the mid-20th century, known for her supporting roles in film and television.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8015017d08190b4020c76545556d6 completed April 9, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d3470e208190aef43936bac2e4e9 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.