Triple
T3884052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bus Stop |
E92895
|
entity |
| Predicate | starring |
P1507
|
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: [Bus Stop, starring, Betty Field]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Field Context triple: [Bus Stop, starring, 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.
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.
-
E.
Linda Harrison
Linda Harrison is an American actress best known for her role as Nova in the original "Planet of the Apes" films.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec9029908190a7b36a3827734db1 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdb8f4eab88190b123aca20feb8d63 |
completed | March 20, 2026, 9:15 p.m. |
Created at: March 9, 2026, 3:20 p.m.