Triple
T35624025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrocolor |
E1029397
|
entity |
| Predicate | usedInCreditsAs |
P66001
|
FINISHED |
| Object | Photographed in Metrocolor |
—
|
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: Photographed in Metrocolor | Statement: [Metrocolor, usedInCreditsAs, Photographed in Metrocolor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCreditsAs Context triple: [Metrocolor, usedInCreditsAs, Photographed in Metrocolor]
-
A.
usedInClosingCreditsOf
Indicates that something is listed or acknowledged in the closing credits of a work (such as a film, show, or game).
-
B.
usedInSeasonOpeningCreditsOf
Indicates that something (such as an image, clip, or element) appears in and is utilized as part of the opening credits sequence of a particular season of a show.
-
C.
creditedIn
chosen
Indicates that an entity is acknowledged or listed as a contributor or source within a particular work, record, or context.
-
D.
wasUsedBy
Indicates that something served as a tool, resource, or means for an agent to perform an action or achieve a result.
-
E.
alsoUsedIn
Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 3, 2026, 4:05 p.m.