Triple
T15949731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preacher |
E386782
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Tulip O'Hare |
E905340
|
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: Tulip O'Hare | Statement: [Preacher, mainCharacter, Tulip O'Hare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulip O'Hare Context triple: [Preacher, mainCharacter, Tulip O'Hare]
-
A.
Tulip O’Hare
chosen
Tulip O’Hare is a fiercely resourceful and violent yet charismatic outlaw and the ex-girlfriend of Jesse Custer in the comic book and television series "Preacher."
-
B.
Mollie O'Hare
Mollie O'Hare is a member of the O'Hare family, known primarily as the daughter of Edward O'Hare.
-
C.
Sorrel Carson
Sorrel Carson is a British actress and theatre professional best known for her marriage to actor and songwriter Trevor Peacock.
-
D.
Elizabeth O'Hara
Elizabeth O'Hara is best known as the wife of Irish film producer and screenwriter Kevin McClory, who was closely associated with the James Bond franchise.
-
E.
Dianthe Lusk
Dianthe Lusk was the first wife of American abolitionist John Brown and the mother of several of his children.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d4c5008190a56ebf8c28f712dc |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3c1b49c819087e5a088d41963ec |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.