Triple
T38552095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Schlesinger Productions |
E925137
|
entity |
| Predicate | primaryColorProcess |
P206526
|
FINISHED |
| Object | Technicolor |
E20215
|
NE 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: Technicolor | Statement: [Leon Schlesinger Productions, primaryColorProcess, Technicolor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryColorProcess Context triple: [Leon Schlesinger Productions, primaryColorProcess, Technicolor]
-
A.
primaryColorProduction
Indicates that an entity is responsible for producing or generating a primary color (such as red, blue, or yellow) in some context.
-
B.
primaryColour
Indicates that one entity is the main or dominant color characteristic of another entity.
-
C.
primaryColorPalette
Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
-
D.
primaryPigment
Indicates that one pigment is the main or dominant colorant used or present in relation to another entity.
-
E.
primaryWavelength
Indicates the main or dominant wavelength associated with an entity, such as the principal wavelength at which it emits, reflects, or operates.
- F. None of above. chosen
Provenance (5 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41e037ff9081908f46513ae0253650 |
completed | June 29, 2026, 3:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.