Triple
T14671912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McCloskey |
E344533
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John McCloskey |
E790941
|
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: John McCloskey | Statement: [McCloskey, hasNotableBearer, John McCloskey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John McCloskey Context triple: [McCloskey, hasNotableBearer, John McCloskey]
-
A.
John McCloskey
chosen
John McCloskey was a 19th-century American Catholic prelate who became the first U.S. cardinal and a prominent Archbishop of New York.
-
B.
John O’Keefe
John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
-
C.
John O’Keefe
John O’Keefe is an American playwright, actor, and director known for his experimental and avant-garde theater works.
-
D.
Hugh McDermott
Hugh McDermott was a Scottish actor known for his supporting roles in British films of the 1930s and 1940s.
-
E.
Wayne McCullough
Wayne McCullough is a Northern Irish former professional boxer and Olympic silver medalist known for his relentless pressure style and iron chin.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009181980481908fb49e464aef8734 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:27 a.m.