Triple
T16875300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lila Crane |
E421282
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Vera Miles |
—
|
NE NERFINISHED |
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: Vera Miles | Statement: [Lila Crane, portrayedBy, Vera Miles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera Miles Context triple: [Lila Crane, portrayedBy, Vera Miles]
-
A.
Vera Miles
chosen
Vera Miles is an American actress best known for her roles in classic Alfred Hitchcock films, including "Psycho" and "The Wrong Man."
-
B.
Anne Francis
Anne Francis was an American actress best known for her roles in films like "Forbidden Planet" and the TV series "Honey West," for which she received Emmy and Golden Globe nominations.
-
C.
Anita Louise
Anita Louise was an American film and television actress best known for her delicate, ethereal screen presence in 1930s Hollywood productions.
-
D.
Linda Harrison
Linda Harrison is an American actress best known for her role as Nova in the original "Planet of the Apes" films.
-
E.
Estelle Parsons
Estelle Parsons is an American actress and director best known for her Academy Award–winning performance in the 1967 film "Bonnie and Clyde" and her extensive work on stage and television.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
Created at: April 10, 2026, 5:29 a.m.