Triple

T14513679
Position Surface form Disambiguated ID Type / Status
Subject Michelle Fairley E340462 entity
Predicate notableWork P4 FINISHED
Object The Ferryman E246893 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: The Ferryman | Statement: [Michelle Fairley, notableWork, The Ferryman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ferryman
Context triple: [Michelle Fairley, notableWork, The Ferryman]
  • A. The Ferryman chosen
    The Ferryman is a critically acclaimed stage play by Jez Butterworth, set in 1980s Northern Ireland during The Troubles, that explores family, loyalty, and political violence.
  • B. Ferryman
    Ferryman is a sculptural artwork by British artist Tony Cragg, exemplifying his innovative use of materials and abstract forms.
  • C. The Weir
    The Weir is a critically acclaimed play by Conor McPherson that blends ghost stories and intimate conversation in a rural Irish pub setting.
  • D. The Fisherman’s Wake
    The Fisherman’s Wake is a film produced by acclaimed Australian producer Jan Chapman, known for her work on character-driven, emotionally resonant cinema.
  • E. Star of the Sea
    Star of the Sea is a traditional Marian title that invokes the Virgin Mary as a guiding and protective figure for Christians, especially sailors and travelers.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de9a6d82988190b6f957012bcc63d4 completed April 14, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da64db881909a4f88d18031cb0c completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.