Triple
T17018473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Grace |
E412881
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Dinah Manoff |
—
|
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: Dinah Manoff | Statement: [State of Grace, portrayedBy, Dinah Manoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dinah Manoff Context triple: [State of Grace, portrayedBy, Dinah Manoff]
-
A.
Dinah Manoff
chosen
Dinah Manoff is an American actress and director best known for her roles in the film "Grease" and the TV series "Empty Nest."
-
B.
Haddie Braverman
Haddie Braverman is a teenage member of the Braverman family on the television drama "Parenthood," known for her coming-of-age storylines involving family, relationships, and personal growth.
-
C.
Marion Rothman
Marion Rothman was an American film editor known for her work on notable films of the 1960s and 1970s, including the crime thriller "The Boston Strangler."
-
D.
Jane Weinzapfel
Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
-
E.
Diane Nabatoff
Diane Nabatoff is a film and television producer known for her work on crime dramas and character-driven stories.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d481a0988190a13d0928e0c7ebbf |
completed | April 18, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:33 a.m.