Triple
T31411273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmonious Claptrap |
E801269
|
entity |
| Predicate | partOfProductionCompaniesFor |
P199636
|
FINISHED |
| Object | Community |
—
|
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: Community | Statement: [Harmonious Claptrap, partOfProductionCompaniesFor, Community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfProductionCompaniesFor Context triple: [Harmonious Claptrap, partOfProductionCompaniesFor, Community]
-
A.
coProductionCompany
Indicates a company that collaborates with one or more other companies in the joint production of a work or project.
-
B.
hasProductionCompany
Indicates that an entity (such as a film, show, or media work) is associated with a specific company responsible for its production.
-
C.
laterProductionCompany
Indicates that one production company succeeded or replaced another as the later producer of a work or series.
-
D.
ownedProductionCompany
Indicates that one entity previously possessed ownership or controlling interest in a production company.
-
E.
filmProductionCompanyOfAppearance
Indicates the company responsible for producing the film in which a particular appearance occurs.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff49f888348190b9c55afa73b99e6a |
completed | May 9, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69ff49614ef88190ac70b034c55ad738 |
completed | May 9, 2026, 2:49 p.m. |
| PDg | Predicate description generation | batch_69ff49f7db2c819094d488d13985334c |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 30, 2026, 8:39 p.m.