Triple
T15132502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian Bacon |
E361453
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Kevin J. O’Connor |
E451417
|
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: Kevin J. O’Connor | Statement: [Canadian Bacon, hasCastMember, Kevin J. O’Connor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin J. O’Connor Context triple: [Canadian Bacon, hasCastMember, Kevin J. O’Connor]
-
A.
Kevin J. O'Connor
chosen
Kevin J. O'Connor is an American character actor known for his eccentric and memorable supporting roles in films such as "There Will Be Blood" and "The Mummy."
-
B.
Kevin O'Connor
Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
-
C.
Michael J. Durkan
Michael J. Durkan is an individual notable enough to be recognized as a bearer of the Durkan surname, though specific widely known public details about him are limited.
-
D.
Michael O'Connor
Michael O'Connor is an Academy Award-winning British costume designer known for his detailed period work on films such as "The Duchess" and "Jane Eyre" (2011).
-
E.
Kevin M. Quinn
Kevin M. Quinn is a political scientist and quantitative methodologist known for his work in statistical modeling and empirical legal studies.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c30b5388190b5c4190d89c7ae97 |
completed | May 11, 2026, 7:58 a.m. |
Created at: April 10, 2026, 3:06 a.m.