Triple
T25167109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Stevens |
E630208
|
entity |
| Predicate | filmAdaptationOfWork |
P157978
|
FINISHED |
| Object | The Remains of the Day (1993 film) |
E21797
|
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: The Remains of the Day (1993 film) | Statement: [James Stevens, filmAdaptationOfWork, The Remains of the Day (1993 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmAdaptationOfWork Context triple: [James Stevens, filmAdaptationOfWork, The Remains of the Day (1993 film)]
-
A.
inFilmAdaptation
Indicates that one work or element appears within, or is incorporated into, a film adaptation of another work.
-
B.
filmAdaptationFormat
Indicates the specific medium or format (e.g., feature film, TV movie, short film) in which a work has been adapted into a film.
-
C.
filmAdaptationMusicBy
Indicates that the music for a film adaptation was composed or created by the specified person or entity.
-
D.
filmAdaptationStarred
Indicates that a particular person played a starring role in a specific film adaptation of a work.
-
E.
filmAdaptationOfLife
Indicates that a film is an adaptation based on the life or real-life experiences of a person or group.
- F. None of above. chosen
Provenance (5 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46d42ec0081908231beebf495cf3e |
completed | May 1, 2026, 9:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105d14030c819094cece142b2f43a0 |
completed | May 22, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 12:17 p.m.