Triple
T12859835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Therese Belivet |
E307554
|
entity |
| Predicate | adaptedForScreenBy |
P49788
|
FINISHED |
| Object | Phyllis Nagy |
E1006311
|
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: Phyllis Nagy | Statement: [Therese Belivet, adaptedForScreenBy, Phyllis Nagy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phyllis Nagy Context triple: [Therese Belivet, adaptedForScreenBy, Phyllis Nagy]
-
A.
Phyllis Nagy
chosen
Phyllis Nagy is an American screenwriter, director, and playwright best known for her Academy Award–nominated adaptation of Patricia Highsmith’s novel into the film "Carol."
-
B.
Elizabeth Swados
Elizabeth Swados was an American composer, writer, and director known for her innovative, socially engaged musical theater works on and off Broadway.
-
C.
Louise Dahl-Wolfe
Louise Dahl-Wolfe was a pioneering American fashion photographer renowned for her innovative use of natural light and location shooting, which helped redefine modern fashion imagery in the mid-20th century.
-
D.
Liane Balaban
Liane Balaban is a Canadian actress known for her work in independent films and television dramas.
-
E.
Audrey Bilger
Audrey Bilger is an American academic and administrator who serves as the president of Reed College in Portland, Oregon.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970242bd48190941cbae0315ebc3d |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a54ce34c819080ef09ec040a4dbb |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 9, 2026, 5:37 p.m.