Triple
T11485590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estelle Parsons |
E272266
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rachel, Rachel |
E720993
|
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: Rachel, Rachel | Statement: [Estelle Parsons, notableWork, Rachel, Rachel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel, Rachel Context triple: [Estelle Parsons, notableWork, Rachel, Rachel]
-
A.
Rachel, Rachel
chosen
"Rachel, Rachel" is a 1968 American drama film directed by Paul Newman and starring Joanne Woodward, acclaimed for its intimate portrayal of a repressed schoolteacher’s emotional awakening.
-
B.
The Heart of Rachael
The Heart of Rachael is a silent-era American film drama associated with actor-director Howard Hickman.
-
C.
Racheal
Racheal is a given name, typically a variant spelling of the more common name Rachel.
-
D.
The Rachel Papers
The Rachel Papers is Martin Amis’s debut novel, a darkly comic coming-of-age story about a precocious teenager obsessively documenting his life and romantic pursuits.
-
E.
Dear Ruth
Dear Ruth is a 1947 romantic comedy film best known for starring Joan Caulfield and based on the successful Broadway play of the same name.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1ea00c8190b42cdc13a6bc61c3 |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e60451a89081909f9534fee6cb809f |
completed | April 20, 2026, 10:47 a.m. |
Created at: April 8, 2026, 9:36 p.m.