Triple

T15060163
Position Surface form Disambiguated ID Type / Status
Subject Mare Sheehan E379603 entity
Predicate hasExSpouse P23411 FINISHED
Object Frank Sheehan E1203655 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: Frank Sheehan | Statement: [Mare Sheehan, hasExSpouse, Frank Sheehan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frank Sheehan
Context triple: [Mare Sheehan, hasExSpouse, Frank Sheehan]
  • A. Frank Sheehan chosen
    Frank Sheehan is a character in the television series "Mare of Easttown," known as the ex-husband of the main protagonist, Mare Sheehan, and a central figure in her complex family dynamics.
  • B. Ed McLaughlin
    Ed McLaughlin is an American college athletics administrator best known as the athletic director at Virginia Commonwealth University (VCU).
  • C. Lyndon Sheehan
    Lyndon Sheehan is a New Zealand film producer known for his work on several notable local and international productions.
  • D. Bill Heelan
    Bill Heelan is a developer best known for creating the software project Archie.
  • E. Frank Corrigan
    Frank Corrigan is a relatively obscure individual whose name is notable primarily for its appearance in records or references rather than for widely recognized public achievements.
  • 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_6a014819dfbc8190b39a10647f9ba64c completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 3:01 a.m.