Triple

T3589751
Position Surface form Disambiguated ID Type / Status
Subject Harrison E75996 entity
Predicate hasNotableBearer P458 FINISHED
Object Tony Harrison (poet) E371695 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: Tony Harrison (poet) | Statement: [Harrison, hasNotableBearer, Tony Harrison (poet)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Harrison (poet)
Context triple: [Harrison, hasNotableBearer, Tony Harrison (poet)]
  • A. Tony Harrison chosen
    Tony Harrison is an English poet and playwright renowned for his politically charged verse and innovative use of vernacular language.
  • B. Douglas Dunn
    Douglas Dunn is a Scottish poet, editor, and academic known for his reflective verse and significant contributions to contemporary British poetry.
  • C. Christopher Heaney
    Christopher Heaney is one of the children of Nobel Prize–winning Irish poet Seamus Heaney.
  • D. Edward Bishop
    Edward Bishop was a 17th-century New England resident known primarily as the husband of Bridget Bishop, the first person executed during the Salem witch trials.
  • E. Michael Hartnett
    Michael Hartnett was a prominent Irish poet known for his lyrical style and his work in both English and Irish, often exploring themes of language, identity, and rural life.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc13c9514819096adf60b15016b8b completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b43305b21081909d7f78dac96ceaa8 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:22 p.m.