Triple
T27867190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Bowman |
E704386
|
entity |
| Predicate | hasNetworkOfOriginalBroadcast |
P52459
|
FINISHED |
| Object | Amazon Prime Video |
—
|
NE NERFINISHED |
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: Amazon Prime Video | Statement: [Taylor Bowman, hasNetworkOfOriginalBroadcast, Amazon Prime Video]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNetworkOfOriginalBroadcast Context triple: [Taylor Bowman, hasNetworkOfOriginalBroadcast, Amazon Prime Video]
-
A.
hasOriginalBroadcastStation
Indicates the broadcasting station or network on which a program or content was first originally aired.
-
B.
networkOfOriginalAiring
chosen
Indicates the television network on which a program or episode was originally broadcast.
-
C.
hasOriginalNetworkSeriesCreator
Indicates that an entity is the original creator of a television or broadcast series for a particular network.
-
D.
televisionNetworkOfOrigin
Indicates the television network on which a program, series, or content was originally broadcast or first aired.
-
E.
hasOriginalProgrammingBrand
Indicates that an entity is associated with or produced under a particular original programming brand or label.
- 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_69ef840f12408190b539d00d79658abf |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 27, 2026, 6:21 p.m.