Triple
T32407281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyoncé’s 2018 Coachella performance |
E828116
|
entity |
| Predicate | videoDirection |
P31524
|
FINISHED |
| Object | multi-camera live broadcast |
—
|
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: multi-camera live broadcast | Statement: [Beyoncé’s 2018 Coachella performance, videoDirection, multi-camera live broadcast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoDirection Context triple: [Beyoncé’s 2018 Coachella performance, videoDirection, multi-camera live broadcast]
-
A.
mediaDirection
Indicates the direction or flow of media transmission between entities, such as who is sending and who is receiving the media.
-
B.
streamOrientation
Indicates the directional alignment or course of a stream relative to a reference frame (e.g., compass directions or landscape features).
-
C.
portraitStyle
Indicates the artistic style or manner in which a portrait is created or depicted.
-
D.
videoOutput
chosen
Indicates that one entity produces or provides video signals or content as output to another entity or medium.
-
E.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
- 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_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f72921cf2c8190909bb53f78bcc890 |
completed | May 3, 2026, 10:53 a.m. |
| PD | Predicate disambiguation | batch_69f7283d8cec8190b524c144948bc4ec |
completed | May 3, 2026, 10:49 a.m. |
Created at: May 1, 2026, 12:53 a.m.