Triple
T13709499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mount Company productions |
E328731
|
entity |
| Predicate | creativeIndustry |
P111277
|
FINISHED |
| Object | entertainment industry |
—
|
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: entertainment industry | Statement: [The Mount Company productions, creativeIndustry, entertainment industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeIndustry Context triple: [The Mount Company productions, creativeIndustry, entertainment industry]
-
A.
creativeMethod
Indicates the technique, approach, or process used to produce or carry out a creative work or activity.
-
B.
creativeAgency
Indicates a relationship where one entity functions as a creative agency that provides creative or marketing services to another entity.
-
C.
creativeOutput
Indicates that an entity produces, originates, or is responsible for a creative work or result.
-
D.
creativeUniverse
Indicates a relationship where an entity is responsible for originating, shaping, or imaginatively generating a universe or complete world.
-
E.
fictionalIndustry
Indicates that an entity operates within an industry or sector that exists only in fiction rather than in the real world.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:54 p.m.