Triple
T13185656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Caine |
E313841
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Patricia Haines |
E276123
|
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: Patricia Haines | Statement: [Michael Caine, spouse, Patricia Haines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Haines Context triple: [Michael Caine, spouse, Patricia Haines]
-
A.
Patricia Haines
chosen
Patricia Haines was a British actress known for her television and film roles in the 1950s and 1960s.
-
B.
Patricia Marshall
Patricia Marshall was an American actress and singer best known for her work in mid-20th-century film and musical theatre.
-
C.
Patricia Blair
Patricia Blair was an American film and television actress best known for her roles in 1960s TV series such as "Daniel Boone" and "The Rifleman."
-
D.
Patricia Burr
Patricia Burr is an individual notable enough to be recognized as a bearer of the surname Burr, though specific widely known public details about her are not readily established.
-
E.
Patricia Murray
Patricia Murray is known as the spouse of American glass artist and sculptor Dan Dailey.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4b663c8190b0b18f0785f7b57d |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7460e94a08190a518f466f55db482 |
completed | May 3, 2026, 12:56 p.m. |
Created at: April 9, 2026, 9:15 p.m.