Triple
T33362573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petit à petit |
E854259
|
entity |
| Predicate | filmmakingApproach |
P176547
|
FINISHED |
| Object | collaborative ethnography |
—
|
LITERAL 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: collaborative ethnography | Statement: [Petit à petit, filmmakingApproach, collaborative ethnography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmmakingApproach Context triple: [Petit à petit, filmmakingApproach, collaborative ethnography]
-
A.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
B.
filmmakingTechnology
Indicates the use or involvement of specific tools, methods, or equipment in the process of creating films.
-
C.
directorialStyle
Indicates the characteristic manner or approach a director consistently uses in creating and shaping their works.
-
D.
cinematographyIncludes
Indicates that a cinematographic work or process contains or makes use of specific visual techniques, elements, or components as part of its overall execution.
-
E.
cinematicForm
Indicates that something is expressed, structured, or realized through the techniques, conventions, or medium of cinema or film.
- F. None of above. chosen
Provenance (4 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:34 a.m.