Triple
T10812895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suellen O'Hara |
E255146
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | O'Hara |
E255145
|
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'Hara | Statement: [Suellen O'Hara, familyName, O'Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O'Hara Context triple: [Suellen 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.
Halloran
Halloran is the surname of the eccentric, dysfunctional family at the center of Shirley Jackson’s gothic novel "The Sundial."
-
C.
Kimball O'Hara
Kimball O'Hara is the orphaned Irish-Indian boy and streetwise spy-in-training who serves as the protagonist of Rudyard Kipling’s novel "Kim."
-
D.
Max O’Hara
Max O’Hara is a fast-talking, ambitious showman and nightclub promoter who brings the giant gorilla Joe to Hollywood in the 1949 adventure film "Mighty Joe Young."
-
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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dff7c0907c8190b092bb6754fe4e52 |
completed | April 15, 2026, 8:40 p.m. |
Created at: April 8, 2026, 9:18 p.m.