Triple
T27935205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Detective Agency |
E708085
|
entity |
| Predicate | mediaIndustryRole |
P20270
|
FINISHED |
| Object | production company |
—
|
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: production company | Statement: [The Detective Agency, mediaIndustryRole, production company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaIndustryRole Context triple: [The Detective Agency, mediaIndustryRole, production company]
-
A.
roleInFilmProduction
Indicates the specific function or responsibility an entity has within the making of a film.
-
B.
musicIndustryRole
Indicates the professional function or position an entity holds within the music industry ecosystem.
-
C.
hasMediaIndustry
Indicates that an entity is involved in, associated with, or operates within the media industry.
-
D.
mediaRole
chosen
Indicates the specific function, capacity, or position an entity holds in relation to a media item (such as creator, editor, performer, or distributor).
-
E.
mediaSector
Indicates a relationship where an entity operates in, is associated with, or belongs to the media industry or media-related sector.
- 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 7:05 p.m.