Triple
T19559781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James G. O'Hara |
E489414
|
entity |
| Predicate | familyName |
P18
|
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: [James G. O'Hara, familyName, O'Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O'Hara Context triple: [James G. O'Hara, familyName, 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.
Nick O’Hara
Nick O’Hara is the protagonist of the mystery novel "Call After Midnight," around whom the book’s central suspenseful events and investigations revolve.
-
C.
O'Haire
O'Haire is a variant spelling of the surname O'Hare, typically of Irish origin.
-
D.
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.
-
E.
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."
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.