Triple
T35698075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCIR System H |
E1031497
|
entity |
| Predicate | videoPolarity |
P183833
|
FINISHED |
| Object | negative |
—
|
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: negative | Statement: [CCIR System H, videoPolarity, negative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoPolarity Context triple: [CCIR System H, videoPolarity, negative]
-
A.
polarity
Indicates whether the relationship or statement is affirmed (positive) or denied/opposed (negative).
-
B.
timePolarity
Indicates the temporal orientation of an event or state, such as whether it occurs in the past, present, or future relative to a reference time.
-
C.
videoReviewSystem
Indicates that an entity functions as a system or platform for collecting, managing, or presenting reviews of videos.
-
D.
isVideoOf
Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other entity.
-
E.
voterSentiment
Indicates the attitude, opinion, or emotional response that voters hold toward a candidate, issue, or political option.
- F. None of above. chosen
Provenance (4 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a34e80dc8190980d5b7b0b91341d |
completed | May 3, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:05 p.m.