Triple
T12146812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eamonn Hartnett |
E289345
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eamonn Hartnett |
E289345
|
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: Eamonn Hartnett | Statement: [Eamonn Hartnett, name, Eamonn Hartnett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eamonn Hartnett Context triple: [Eamonn Hartnett, name, Eamonn Hartnett]
-
A.
Eamonn Hartnett
chosen
Eamonn Hartnett is an individual notable enough to be specifically referenced as a bearer of the surname Hartnett.
-
B.
John Dinneen
John Dinneen is a person notable enough to be specifically cited as a bearer of the surname Dinneen.
-
C.
John O’Mahony
John O’Mahony is a music producer and mixing engineer known for his work on major rock and pop records, including projects by bands like Matchbox Twenty and Coldplay.
-
D.
Fergus Gleeson
Fergus Gleeson is an Irish actor and musician, known both for his work in film and television and for being part of the Gleeson family of performers.
-
E.
Macdara Kelleher
Macdara Kelleher is a film producer best known for his work on the Irish historical drama "Black 47."
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ac2ebc81909155f9b2fb4a2252 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63ee285208190a0183e30c749f955 |
completed | May 2, 2026, 6:13 p.m. |
Created at: April 8, 2026, 9:49 p.m.