Triple
T34660959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enos |
E890103
|
entity |
| Predicate | hasOriginalChannelType |
P2595
|
FINISHED |
| Object | commercial broadcast network |
—
|
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: commercial broadcast network | Statement: [Enos, hasOriginalChannelType, commercial broadcast network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalChannelType Context triple: [Enos, hasOriginalChannelType, commercial broadcast network]
-
A.
originalChannel
chosen
Indicates the communication channel or medium through which something was first created, sent, or published.
-
B.
hasOriginalProgrammingType
Indicates that an entity has a specific type or category of original programming associated with it.
-
C.
hasOriginalFeature
Indicates that an entity possesses a feature or characteristic in its initial, unmodified, or native form.
-
D.
hasOriginBandType
Indicates that something originates from, or is derived from, a specific type or category of band.
-
E.
hasOriginalBroadcastStation
Indicates the broadcasting station or network on which a program or content was first originally aired.
- 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_69f349d906bc8190b2efd9eff237d94b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
Created at: May 1, 2026, 2:04 a.m.