Triple
T13854461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Whitelaw Pine |
E333026
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Gwynne Gilford |
E513547
|
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: Gwynne Gilford | Statement: [Christopher Whitelaw Pine, parent, Gwynne Gilford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwynne Gilford Context triple: [Christopher Whitelaw Pine, parent, Gwynne Gilford]
-
A.
Gwynne Gilford
chosen
Gwynne Gilford is an American former actress who appeared in film and television in the 1970s and 1980s.
-
B.
Gwynne Whitby
Gwynne Whitby was the first wife of Argentine-born American singer and actor Dick Haymes, known for their brief early marriage before his rise to Hollywood fame.
-
C.
Alicia Gwynn
Alicia Gwynn is the widow of Hall of Fame baseball player Tony Gwynn and a longtime community advocate and philanthropist associated with San Diego and baseball-related charitable work.
-
D.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
E.
Rose Nylund
Rose Nylund is a sweet, naive, and hilariously literal-minded Midwestern woman portrayed by Betty White on the classic sitcom "The Golden Girls."
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02db9c9c81909bb2d2fbfb7394b1 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64e47f1c8190a4ad09bc96d35b69 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 9, 2026, 10:14 p.m.