Triple
T21627012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTIA |
E533729
|
entity |
| Predicate | coProcessorRole |
P56870
|
FINISHED |
| Object | video and color generation companion to ANTIC |
—
|
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: video and color generation companion to ANTIC | Statement: [CTIA, coProcessorRole, video and color generation companion to ANTIC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coProcessorRole Context triple: [CTIA, coProcessorRole, video and color generation companion to ANTIC]
-
A.
consensusRole
Indicates that an entity participates in a consensus process with a specific functional role (e.g., proposer, validator, leader, or follower) within that agreement mechanism.
-
B.
roleInOperation
chosen
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
C.
roleInCoco
Indicates that an entity serves a specific role or function within the context of the COCO dataset or framework.
-
D.
roleInMCU
Indicates that one entity portrays or has a specific character role within the Marvel Cinematic Universe in relation to the other entity.
-
E.
startupRole
Indicates that an entity holds a specific role or position within a startup organization.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52141e1c8190a861f4bc7cfcb490 |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:34 p.m.