Triple

T11699744
Position Surface form Disambiguated ID Type / Status
Subject Esther Sleepe Burney E278090 entity
Predicate birthName P65 FINISHED
Object Esther Sleepe E941618 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: Esther Sleepe | Statement: [Esther Sleepe Burney, birthName, Esther Sleepe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esther Sleepe
Context triple: [Esther Sleepe Burney, birthName, Esther Sleepe]
  • A. Esther Sleepe chosen
    Esther Sleepe was the wife of English music historian and composer Charles Burney and the mother of several of his notable children, including novelist Fanny Burney.
  • B. Esther Dale
    Esther Dale was an American character actress known for her numerous supporting roles in Hollywood films and early television from the 1930s through the 1950s.
  • C. Esther Champion
    Esther Champion was the wife of Moses Cleaveland, the American surveyor and founder of the city of Cleveland, Ohio.
  • D. Esther Harper
    Esther Harper is a character in the animated adventure film "The Sea Beast," depicted as a determined and courageous figure involved in the story’s high-seas monster-hunting exploits.
  • E. Esther Smith
    Esther Smith is the central teenage daughter in the classic 1944 MGM musical film "Meet Me in St. Louis," famously portrayed by Judy Garland.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a47df68c81908a91919a69b4880d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0195739348190b40a378ca227cf85 completed April 28, 2026, 2:20 a.m.
Created at: April 8, 2026, 9:40 p.m.