Triple
T25831642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Here Comes Cookie |
E650678
|
entity |
| Predicate | madeInHollywoodStudioSystem |
P159330
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Here Comes Cookie, madeInHollywoodStudioSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeInHollywoodStudioSystem Context triple: [Here Comes Cookie, madeInHollywoodStudioSystem, true]
-
A.
majorStudio
Indicates that an entity is a large, primary film or media production and distribution company within the entertainment industry.
-
B.
producedForStudio
Indicates that a work (such as a film, show, or recording) was created under contract for, and on behalf of, a particular studio.
-
C.
filmStudioLot
Indicates a relationship where a film studio owns, operates, or is associated with a specific studio lot or production facility.
-
D.
filmStudioEra
Indicates the historical period or era during which a particular film studio was active or most influential.
-
E.
filmStudioInFiction
Indicates that a fictional work features or references a film studio within its narrative or setting.
- 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_69e7ab37438081908f1ccf6284839520 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f106a08190ad7b4537223dbd8c |
completed | May 2, 2026, 1:53 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 7:38 a.m.