Triple

T10352189
Position Surface form Disambiguated ID Type / Status
Subject Isadora Duncan E243906 entity
Predicate familyName P18 FINISHED
Object Duncan E693322 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: Duncan | Statement: [Isadora Duncan, familyName, Duncan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duncan
Context triple: [Isadora Duncan, familyName, Duncan]
  • A. Duncan chosen
    Duncan is a Scottish-origin surname borne by numerous notable individuals across fields such as politics, sports, and the arts.
  • B. Duncan
    Duncan is a character in Margaret Atwood's novel "The Edible Woman," serving as an eccentric and introspective figure who reflects the protagonist's psychological turmoil.
  • C. Duncan
    Duncan is a small city on southern Vancouver Island in British Columbia, Canada, known for its many totem poles and rich Indigenous heritage.
  • D. Duncan
    Duncan is a fictional character from the "Vamp" universe, known for his involvement in its supernatural, vampire-centered storyline.
  • E. Duncan
    Duncan is a character in the independent restaurant-centered crime drama film "Dinner Rush," involved in the tense, fast-paced world of a New York City eatery.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7509c50d48190a567d9613a062efc completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:57 a.m.