Triple
T19603073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger O'Connor |
E470531
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | O'Connor |
—
|
NE NERFINISHED |
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: [Roger O'Connor, familyName, O'Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O'Connor Context triple: [Roger O'Connor, familyName, O'Connor]
-
A.
O'Connor
chosen
O'Connor is an Irish-origin surname borne by numerous notable figures in literature, politics, and the arts.
-
B.
O’Connor
O’Connor is a large federal electoral division in Western Australia, represented in the Australian House of Representatives.
-
C.
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."
-
D.
O'Rourke
O'Rourke is an Irish surname historically associated with several notable figures in politics, the arts, and public life.
-
E.
O'Leahy
O'Leahy is an Irish surname, a variant of Leahy, typically associated with families of Gaelic origin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64080a57c8190837cbe82b93163bf |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.