Triple

T15060164
Position Surface form Disambiguated ID Type / Status
Subject Mare Sheehan E379603 entity
Predicate hasMother P1909 FINISHED
Object Helen Fahey E1121001 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: Helen Fahey | Statement: [Mare Sheehan, hasMother, Helen Fahey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Fahey
Context triple: [Mare Sheehan, hasMother, Helen Fahey]
  • A. Helen Fahey chosen
    Helen Fahey is a central supporting character in the crime drama miniseries "Mare of Easttown," known as the sharp-tongued, opinionated mother of the protagonist, Mare Sheehan.
  • B. Ruth Martin
    Ruth Martin is a fictional character from the soap opera "All My Children," known as a matriarchal figure in the Martin family.
  • C. Helen Young
    Helen Young is known as the wife of American actor and director William Allen Young.
  • D. Carmel Tebbutt
    Carmel Tebbutt is an Australian former Labor politician who served as Deputy Premier of New South Wales and held several key ministerial portfolios in the state government.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d39a0908190a27f7bbaee7a04ef completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:01 a.m.