Triple
T13274873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ó Conchobhair |
E316161
|
entity |
| Predicate | hasAnglicisedForm |
P3437
|
FINISHED |
| Object | O Connor |
E80498
|
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: O Connor | Statement: [Ó Conchobhair, hasAnglicisedForm, O Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O Connor Context triple: [Ó Conchobhair, hasAnglicisedForm, O Connor]
-
A.
Des O’Connor
Des O’Connor was a British comedian, singer, and television presenter known for his long-running variety shows and game show hosting on UK television.
-
B.
O’Connor
O’Connor is a large federal electoral division in Western Australia, represented in the Australian House of Representatives.
-
C.
J. J. Connolly
J. J. Connolly is a British author and screenwriter best known for his crime novel "Layer Cake" and its film adaptation.
-
D.
Una O'Connor
Una O'Connor was an Irish-born character actress best known for her comic and eccentric supporting roles in classic Hollywood films of the 1930s and 1940s, including "The Invisible Man" and "Bride of Frankenstein."
-
E.
O'Connor
chosen
O'Connor is an Irish-origin surname borne by numerous notable figures in literature, politics, 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904193bc8190af4155750bcf32f6 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a51d458819080b8c8f3a4df0f52 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.