Triple
T2980528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Connor |
E80498
|
entity |
| Predicate | hasVariant |
P455
|
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: [O'Connor, hasVariant, O Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O Connor Context triple: [O'Connor, hasVariant, O Connor]
-
A.
J. J. Connolly
J. J. Connolly is a British author and screenwriter best known for his crime novel "Layer Cake" and its film adaptation.
-
B.
O'Connor
chosen
O'Connor is an Irish-origin surname borne by numerous notable figures in literature, politics, and the arts.
-
C.
Mark O’Connor
Mark O’Connor is an American violinist, composer, and fiddler renowned for blending classical, jazz, and American folk traditions, particularly in contemporary string music.
-
D.
Spec O'Donnell
Spec O'Donnell was an American child and character actor of the silent and early sound film era, known for his comic roles in numerous 1920s and 1930s movies.
-
E.
Day O’Connor
Day O’Connor is the family name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999e91788190a2d430dd0600a660 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f27d648190a7a58670fec8b74d |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.