Triple
T12108371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peyton Place |
E288359
|
entity |
| Predicate | starredActor |
P5563
|
FINISHED |
| Object | Betty Field |
E381285
|
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: Betty Field | Statement: [Peyton Place, starredActor, Betty Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Field Context triple: [Peyton Place, starredActor, Betty Field]
-
A.
Betty Field
chosen
Betty Field was an American stage and screen actress known for her nuanced portrayals of complex, often vulnerable women in mid-20th-century films and Broadway productions.
-
B.
Betty Reynolds
Betty Reynolds is the daughter of Canadian actor Ryan Reynolds and American actress Blake Lively.
-
C.
Barbara Rush
Barbara Rush is an American actress best known for her work in mid-20th-century film and television, including prominent roles in dramas and science fiction classics.
-
D.
Edna Francis
Edna Francis was the wife of Roy O. Disney and sister-in-law of Walt Disney, connected to the founding family of The Walt Disney Company.
-
E.
Celeste Holm
Celeste Holm was an American actress best known for her Academy Award–winning performance in "Gentleman's Agreement" and her work on stage and screen during Hollywood's Golden Age.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915632dc48190863e0239cef37e24 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684cc45b48190a388b38ef301c2f8 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 8, 2026, 9:49 p.m.