Triple
T27246526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Dillon |
E687359
|
entity |
| Predicate | hasGivenUp |
P165073
|
FINISHED |
| Object | inter-county Gaelic football career |
—
|
LITERAL 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: inter-county Gaelic football career | Statement: [Alan Dillon, hasGivenUp, inter-county Gaelic football career]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenUp Context triple: [Alan Dillon, hasGivenUp, inter-county Gaelic football career]
-
A.
hasGiven
Indicates that one entity has transferred or presented something to another entity.
-
B.
hasGivenUpOffice
Indicates that an entity has relinquished or ceased to hold a particular office or official position.
-
C.
surrenderedAfter
Indicates that one entity surrendered following or as a consequence of another specified event, action, or time.
-
D.
givesUpDream
Indicates that an entity abandons or relinquishes a previously held aspiration, goal, or ambition.
-
E.
loserStatus
Indicates that an entity has been judged or designated as the loser in a particular comparison, contest, or evaluative context.
- F. None of above. chosen
Provenance (4 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 10:42 a.m.