Triple

T20195604
Position Surface form Disambiguated ID Type / Status
Subject Sweet Emma Barrett E493075 entity
Predicate name P16 FINISHED
Object Sweet Emma Barrett NE NERFINISHED

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: Sweet Emma Barrett | Statement: [Sweet Emma Barrett, name, Sweet Emma Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Emma Barrett
Context triple: [Sweet Emma Barrett, name, Sweet Emma Barrett]
  • A. Sweet Emma Barrett chosen
    Sweet Emma Barrett was a renowned New Orleans jazz pianist and singer celebrated for her spirited performances and key role in preserving traditional jazz.
  • B. Mary Bradham
    Mary Bradham is known as the daughter of Caleb Bradham, the pharmacist and inventor of Pepsi-Cola.
  • C. Sarah Crandall
    Sarah Crandall is a character in the 1959 post-apocalyptic science fiction film "The World, the Flesh and the Devil," serving as one of the few survivors navigating life in a deserted New York City.
  • D. Bessie Mears
    Bessie Mears is a tragic supporting character in Richard Wright’s novel "Native Son," serving as the girlfriend of protagonist Bigger Thomas and highlighting the emotional and social costs of his actions.
  • E. Blanche Sewell
    Blanche Sewell was an American film editor best known for her work on classic Hollywood productions, including the 1939 musical fantasy film "The Wizard of Oz."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad8b3cc8190aa9c9c79c552002a completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.