Triple
T10889068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carreen O'Hara |
E257127
|
entity |
| Predicate | siblingOf |
P363
|
FINISHED |
| Object | Suellen O'Hara |
E255146
|
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: Suellen O'Hara | Statement: [Carreen O'Hara, siblingOf, Suellen O'Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suellen O'Hara Context triple: [Carreen O'Hara, siblingOf, Suellen O'Hara]
-
A.
Suellen O'Hara
chosen
Suellen O'Hara is Scarlett O'Hara’s vain and self-interested younger sister in Margaret Mitchell’s novel "Gone with the Wind."
-
B.
Patsy O’Hara
Patsy O’Hara was an Irish republican volunteer and INLA member from Derry who died on hunger strike in the Maze Prison in 1981.
-
C.
Carreen O'Hara
Carreen O'Hara is a gentle, devout younger sister of Scarlett O'Hara in Margaret Mitchell's novel "Gone with the Wind."
-
D.
Maureen O’Hara
Maureen O’Hara was a celebrated Irish-American actress known for her fiery red hair, strong-willed screen presence, and classic roles in Hollywood films of the 1940s and 1950s.
-
E.
Patricia O'Brien
Patricia O'Brien is an American writer and journalist known for her collaborations with Pulitzer Prize–winning columnist Ellen Goodman and for her own works of fiction and non-fiction.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75202b7248190adeb5780fc5b9199 |
completed | April 9, 2026, 7:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c7e869748190991e06d9df50faa9 |
completed | April 18, 2026, 6:05 p.m. |
Created at: April 8, 2026, 9:21 p.m.