Triple
T17421313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL on Fox play-by-play |
E423621
|
entity |
| Predicate | usedCameraTechniques |
P2760
|
FINISHED |
| Object | unusual camera angles to track the puck |
—
|
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: unusual camera angles to track the puck | Statement: [NHL on Fox play-by-play, usedCameraTechniques, unusual camera angles to track the puck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedCameraTechniques Context triple: [NHL on Fox play-by-play, usedCameraTechniques, unusual camera angles to track the puck]
-
A.
filmingTechnique
chosen
Indicates the specific method or style used to capture visual content during the filming process.
-
B.
specialEffectsTechnique
Indicates a relationship where a particular special effects method or process is used to create or enhance visual or auditory effects in a production.
-
C.
usesCameraType
Indicates that one entity employs or operates a specific type or category of camera.
-
D.
cameraTechnology
Indicates the type or characteristics of camera-related technology associated with an entity.
-
E.
usedByTechnique
Indicates that a particular technique makes use of or employs the referenced entity as part of its method or process.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e442372954819085f332efc7067ae9 |
completed | April 19, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.