Triple
T10648642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parts and Labor |
E250901
|
entity |
| Predicate | creativeOrientation |
P95149
|
FINISHED |
| Object | auteur cinema |
—
|
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: auteur cinema | Statement: [Parts and Labor, creativeOrientation, auteur cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeOrientation Context triple: [Parts and Labor, creativeOrientation, auteur cinema]
-
A.
orientationType
Indicates the specific kind or category of orientation relationship that exists between entities (such as spatial, directional, or alignment-based orientation).
-
B.
creativeDirectionBy
Indicates that the creative direction or overall artistic vision for something is provided or led by a specified entity.
-
C.
valueOrientation
Indicates how an entity’s preferences, priorities, or attitudes are directed toward particular values or value systems.
-
D.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
E.
exportOrientation
Indicates that an entity’s activities, production, or strategy are primarily directed toward serving foreign or international markets rather than domestic ones.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe3ea08819094a945ebb7fc4d3a |
completed | April 8, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69d6df463ea8819091d6683e476b4f21 |
completed | April 8, 2026, 11:05 p.m. |
Created at: April 8, 2026, 9:06 p.m.