Triple
T7240366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kieran Doherty |
E155337
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Doherty |
E472327
|
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: Doherty | Statement: [Kieran Doherty, familyName, Doherty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doherty Context triple: [Kieran Doherty, familyName, Doherty]
-
A.
Doherty
chosen
Doherty is a surname of Irish origin borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
-
B.
McDermott
McDermott is a surname of Irish origin borne by numerous notable individuals across fields such as business, politics, sports, and the arts.
-
C.
Rafferty
Rafferty is an English model and actor best known as the son of actor Jude Law and actress Sadie Frost.
-
D.
Dinneen
Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
-
E.
O'Herlihy
O'Herlihy is an Irish surname associated with figures in film, television, and the arts.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea39230481908401ead83d8666cd |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc4292c881909ca7b140a83ed53d |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.