Triple
T18523947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Lopez-Fitzgerald |
E452664
|
entity |
| Predicate | appearsOnChannel |
P94492
|
FINISHED |
| Object | NBC daytime |
—
|
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: NBC daytime | Statement: [Luis Lopez-Fitzgerald, appearsOnChannel, NBC daytime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsOnChannel Context triple: [Luis Lopez-Fitzgerald, appearsOnChannel, NBC daytime]
-
A.
mayAppearOn
chosen
Indicates that one entity is allowed or able to be shown, featured, or present on another entity (such as a platform, medium, or surface).
-
B.
basedOnChannel
Indicates that something is determined, derived, or decided according to a particular channel as its basis or reference.
-
C.
laterAppearsOnNetwork
Indicates that an entity is broadcast or becomes available on a specified network at a later time than some reference point or initial appearance.
-
D.
notableChannel
Indicates that a channel is recognized as particularly significant, prominent, or noteworthy in some context.
-
E.
typicalChannel
Indicates the usual or most commonly used communication or distribution channel through which an interaction, message, or transaction typically occurs.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:37 a.m.