Triple
T14630982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Very Bad Things |
E343476
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Diane Nabatoff |
E1139639
|
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: Diane Nabatoff | Statement: [Very Bad Things, producer, Diane Nabatoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diane Nabatoff Context triple: [Very Bad Things, producer, Diane Nabatoff]
-
A.
Diane Nabatoff
chosen
Diane Nabatoff is a film and television producer known for her work on crime dramas and character-driven stories.
-
B.
Ann Biderman
Ann Biderman is an American screenwriter and television creator known for her work on crime dramas such as the film "Public Enemies" and the TV series "Southland" and "Ray Donovan."
-
C.
Barbara Siegel
Barbara Siegel is an American author best known for co-writing numerous science fiction and fantasy novels and game-related books, often in collaboration with her husband Scott Siegel.
-
D.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
E.
Roberta Seidman
Roberta Seidman is known as the spouse of Julius Garfinkle.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a912248190a3df7f821395c776 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d960bd08190b8ac366273646865 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 1:26 a.m.