Triple

T6994109
Position Surface form Disambiguated ID Type / Status
Subject Theresa Helburn E162159 entity
Predicate name P16 FINISHED
Object Theresa Helburn E162159 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: Theresa Helburn | Statement: [Theresa Helburn, name, Theresa Helburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theresa Helburn
Context triple: [Theresa Helburn, name, Theresa Helburn]
  • A. Theresa Helburn chosen
    Theresa Helburn was an influential American theatrical producer and playwright who helped shape modern Broadway through her leadership and artistic vision.
  • B. Barbara Trentham
    Barbara Trentham was an American model and actress who later became a painter, known in part for her marriage to British comedian John Cleese.
  • C. Helen Melland
    Helen Melland was the wife of British Prime Minister Herbert Henry Asquith and a member of the English upper-middle class in the late 19th century.
  • D. Beryl Mercer
    Beryl Mercer was a British-born character actress known for her maternal and supporting roles in early 20th-century stage and Hollywood films.
  • E. Helen Slater
    Helen Slater is an American actress and singer-songwriter best known for her breakout title role in the 1984 film "Supergirl" and prominent performances in several 1980s comedies and dramas.
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeaa88c8190a49f8504c1793e1f completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac7b53488190a00978e936b563ac completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 2:32 p.m.