Triple

T7005322
Position Surface form Disambiguated ID Type / Status
Subject Brian d'Arcy James E162438 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: [Brian d'Arcy James, notableWork, The Ferryman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ferryman
Context triple: [Brian d'Arcy James, 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. 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.
  • C. 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.
  • D. The Fishermen
    The Fishermen is a notable mural artwork prominently displayed on Oslo’s former government building Y-blokka, recognized as part of Norway’s modernist public art heritage.
  • E. The Girl in the White Ship
    "The Girl in the White Ship" is a novel by British author Peter Townsend, best known for its maritime setting and psychological exploration of its central female protagonist.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc34b5a88190a793e07dd4d0018b completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a3b2e9c8190b90c4eaaaea983ee completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.