Triple
T22767892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Affliction |
E563175
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Linda Reisman |
—
|
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: Linda Reisman | Statement: [Affliction, producer, Linda Reisman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linda Reisman Context triple: [Affliction, producer, Linda Reisman]
-
A.
Linda Reisman
chosen
Linda Reisman is an American film producer known for her work on acclaimed independent and arthouse films.
-
B.
Irene Resnick
Irene Resnick is a notable individual associated with the Resnick surname, recognized as a bearer of that family name.
-
C.
Helen Hirsch
Helen Hirsch is a Jewish maid in the film "Schindler's List" who endures brutal abuse under Nazi commandant Amon Göth, symbolizing the terror and dehumanization of the Holocaust.
-
D.
Patty Uris
Patty Uris is a supporting character in Stephen King’s novel "It," known primarily as the wife of Stan Uris and a minor figure in the Losers' Club members’ adult lives.
-
E.
Patricia Russo
Patricia Russo is an American business executive best known for serving as CEO of Lucent Technologies and later Alcatel-Lucent.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a81d3348190b005a43a5e03d406 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.