Triple
T22913795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John O’Hara Cosgrave II |
E568673
|
entity |
| Predicate | hasPartInName |
P5298
|
FINISHED |
| Object | O’Hara |
—
|
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’Hara | Statement: [John O’Hara Cosgrave II, hasPartInName, O’Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O’Hara Context triple: [John O’Hara Cosgrave II, hasPartInName, O’Hara]
-
A.
O'Hara
chosen
O'Hara is the surname of Scarlett O'Hara, the headstrong Southern heroine of Margaret Mitchell's novel "Gone with the Wind."
-
B.
O'Hara
O'Hara is a character in the 1936 political adventure film "The General Died at Dawn," which is set amid warlord conflicts in Republican-era China.
-
C.
Tim O’Hara
Tim O’Hara is the bumbling but good-hearted newspaper reporter who discovers and befriends a stranded Martian in the classic 1960s sitcom "My Favorite Martian."
-
D.
O'Hehir
O'Hehir is an Irish surname of Gaelic origin traditionally linked to the Dál gCais dynasty of Munster.
-
E.
Pat O’Hara
Pat O’Hara is a former American football quarterback who became a prominent coach in the Arena Football League, including a successful tenure with the Orlando Predators.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807668c481908494769bab9c8f1d |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.