Triple
T15752573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish You Well |
E381881
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Jane O'Hara
Jane O'Hara is an actress known for her role in the film "Wish You Well."
|
E1176441
|
NE FINISHED |
How this triple was built (4 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: Jane O'Hara | Statement: [Wish You Well, starring, Jane O'Hara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jane O'Hara Context triple: [Wish You Well, starring, Jane O'Hara]
-
A.
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.
-
B.
Kate O'Brien
Kate O'Brien is a witty, down-to-earth best friend and co-worker of Drew Carey on the sitcom "The Drew Carey Show," known for her sharp humor and long-running will-they-won't-they dynamic with the title character.
-
C.
Muriel Murphy
Muriel Murphy was the wife of Irish republican leader Terence MacSwiney and a member of the prominent Cork Murphy brewing family.
-
D.
Joan Haverty
Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
-
E.
Gina Marsh
Gina Marsh is known as the wife of American actor Michael Biehn, recognized for his roles in films like "The Terminator" and "Aliens."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jane O'Hara Triple: [Wish You Well, starring, Jane O'Hara]
Generated description
Jane O'Hara is an actress known for her role in the film "Wish You Well."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jane O'Hara Target entity description: Jane O'Hara is an actress known for her role in the film "Wish You Well."
-
A.
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.
-
B.
Kate O'Brien
Kate O'Brien is a witty, down-to-earth best friend and co-worker of Drew Carey on the sitcom "The Drew Carey Show," known for her sharp humor and long-running will-they-won't-they dynamic with the title character.
-
C.
Muriel Murphy
Muriel Murphy was the wife of Irish republican leader Terence MacSwiney and a member of the prominent Cork Murphy brewing family.
-
D.
Joan Haverty
Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
-
E.
Gina Marsh
Gina Marsh is known as the wife of American actor Michael Biehn, recognized for his roles in films like "The Terminator" and "Aliens."
- F. None of above. chosen
Provenance (5 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9094b4008190bb5c65fa2bd0f0b5 |
completed | May 9, 2026, 7:52 p.m. |
| NEDg | Description generation | batch_69ff92c07f60819089c3faeea98e329c |
completed | May 9, 2026, 8:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9383ff1c81909e34995818a3c3f7 |
completed | May 9, 2026, 8:05 p.m. |
Created at: April 10, 2026, 4:47 a.m.