Triple
T16253609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call Jane |
E394574
|
entity |
| Predicate | director |
P255
|
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: [Call Jane, director, Phyllis Nagy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phyllis Nagy Context triple: [Call Jane, director, 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.
Phil Parmet
Phil Parmet is an American cinematographer known for his work on genre films, including Rob Zombie’s horror movie "The Devil’s Rejects."
-
D.
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.
-
E.
Liane Balaban
Liane Balaban is a Canadian actress known for her work in independent films and television dramas.
- 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24598c9488190a92df7d8b1824724 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017b1e22c8190bddca67661121c2d |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:04 a.m.