Triple
T25183271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianne Wibberley |
E630642
|
entity |
| Predicate | coWroteFilmSeries |
P64760
|
FINISHED |
| Object | National Treasure film series |
—
|
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: National Treasure film series | Statement: [Marianne Wibberley, coWroteFilmSeries, National Treasure film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coWroteFilmSeries Context triple: [Marianne Wibberley, coWroteFilmSeries, National Treasure film series]
-
A.
producedFilmSeries
Indicates that a person or organization served as a producer for a particular film series.
-
B.
filmWriterOfWorkAppearedIn
Indicates that a person is the writer of a film in which they themselves also appeared (e.g., as an actor or on-screen participant).
-
C.
wroteTelevisionSeriesFor
Indicates that one entity is the writer or creator of the script or content for a particular television series for another entity (such as a network, studio, or production).
-
D.
filmWriterOfWork
chosen
Indicates that a person is the writer or screenwriter responsible for creating the script or written content of a particular film.
-
E.
screenwriterWorkedWith
Indicates that a screenwriter has collaborated professionally with another individual on one or more film, television, or related media projects.
- F. None of above.
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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dc920e88190874a516646bf4ff5 |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:36 p.m.