Triple
T37211563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hallelujah Trail |
E922315
|
entity |
| Predicate | usesColorProcess |
P21943
|
FINISHED |
| Object | Technicolor |
—
|
NE NERFINISHED |
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: [The Hallelujah Trail, usesColorProcess, Technicolor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesColorProcess Context triple: [The Hallelujah Trail, usesColorProcess, Technicolor]
-
A.
hasColorProcess
chosen
Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its color.
-
B.
isColor
Indicates that one entity represents the color attribute or hue of another entity.
-
C.
colorUse
Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
-
D.
usesColorSource
Indicates that one entity obtains or applies its color information from another specified source.
-
E.
containsColor
Indicates that one entity includes or exhibits the color specified by another entity.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:15 p.m.