Triple

T14732492
Position Surface form Disambiguated ID Type / Status
Subject Oreste in Hadestown E346111 entity
Predicate hasCreator P806 FINISHED
Object Anaïs Mitchell E1064562 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: Anaïs Mitchell | Statement: [Oreste in Hadestown, hasCreator, Anaïs Mitchell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anaïs Mitchell
Context triple: [Oreste in Hadestown, hasCreator, Anaïs Mitchell]
  • A. Anaïs Mitchell chosen
    Anaïs Mitchell is an American singer-songwriter and playwright best known for creating the folk opera and Tony Award–winning Broadway musical "Hadestown."
  • B. Joanna Newsom
    Joanna Newsom is an American singer-songwriter and harpist known for her intricate compositions, poetic lyrics, and distinctive vocal style.
  • C. Laura Marling
    Laura Marling is an English folk singer-songwriter and guitarist acclaimed for her introspective lyrics and distinctive, mature vocal style.
  • D. Lucy Marling
    Lucy Marling is known as the sister of English folk singer-songwriter Laura Marling.
  • E. Laura Veirs
    Laura Veirs is an American singer-songwriter and guitarist known for her lyrically rich indie folk music and critically acclaimed albums such as "Carbon Glacier" and "July Flame."
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d44044819088c86f46b02404ed completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 1:29 a.m.