Triple
T936919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Technicolor |
E20215
|
entity |
| Predicate | brandMeaning |
P13747
|
FINISHED |
| Object | high-quality color cinematography |
—
|
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: high-quality color cinematography | Statement: [Technicolor, brandMeaning, high-quality color cinematography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandMeaning Context triple: [Technicolor, brandMeaning, high-quality color cinematography]
-
A.
brandingMeaning
chosen
Indicates the conceptual message, values, or identity that a brand is intended to convey or represent.
-
B.
titleMeaning
Indicates that one entity expresses or explains the meaning, significance, or interpretation of another entity’s title.
-
C.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
D.
brandNameDerivedFrom
Indicates that the brand’s name is derived from, based on, or taken from another specified name or source.
-
E.
inscriptionMeaning
Indicates that an inscription conveys a particular meaning, message, or content.
- 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_69a493b0270c81909e6c9ce310f6aa55 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3668a3c8190b0152166efa93ee1 |
completed | March 1, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69a4b29b245c8190b143f28b77fede3c |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.