Triple
T15452906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Harrison |
E371695
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tony Harrison |
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 | Statement: [Tony Harrison, name, Tony Harrison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Harrison Context triple: [Tony Harrison, name, Tony Harrison]
-
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.
Andrew Motion
Andrew Motion is a British poet, novelist, and biographer who served as the United Kingdom's Poet Laureate from 1999 to 2009.
-
C.
Douglas Dunn
Douglas Dunn is a Scottish poet, editor, and academic known for his reflective verse and significant contributions to contemporary British poetry.
-
D.
Geoffrey Hill
Geoffrey Hill was a highly acclaimed English poet and critic renowned for his dense, allusive verse and exploration of history, religion, and morality.
-
E.
David Harsent
David Harsent is a British poet and librettist known for his dark, formally inventive work and multiple major poetry awards.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f131b1481909ff099c3b844ee07 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b3c5a481908057e94fd84f3cfc |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:30 a.m.