Triple
T36552068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glacier Films |
E901292
|
entity |
| Predicate | roleInCooties |
P203517
|
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: [Glacier Films, roleInCooties, production company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInCooties Context triple: [Glacier Films, roleInCooties, production company]
-
A.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
B.
roleAtHoney
Indicates that an entity holds or held a specific role or position at the organization Honey.
-
C.
roleInKuomboka
Indicates that an entity holds a specific role or function within the context of the Kuomboka ceremony or event.
-
D.
roleInLoveEtc
Indicates the specific part or function an entity plays within a romantic or affectionate relationship or situation.
-
E.
roleInPride
Indicates the specific social or functional position an individual holds within a pride group.
- 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_69f76e61217081908b79d610fe67b013 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a019579463c8190b51e39183b57bbaf |
completed | May 11, 2026, 8:38 a.m. |
| PD | Predicate disambiguation | batch_6a0192d309488190a3d86c93e7138c77 |
completed | May 11, 2026, 8:26 a.m. |
| PDg | Predicate description generation | batch_6a019578545c8190964a8b9087d3a46a |
completed | May 11, 2026, 8:38 a.m. |
Created at: May 3, 2026, 4:11 p.m.