Triple
T36252790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unanswered Prayers |
E891844
|
entity |
| Predicate | inspiredTVFilmNetwork |
P833
|
FINISHED |
| Object | Lifetime |
—
|
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: Lifetime | Statement: [Unanswered Prayers, inspiredTVFilmNetwork, Lifetime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredTVFilmNetwork Context triple: [Unanswered Prayers, inspiredTVFilmNetwork, Lifetime]
-
A.
inspiredTelevisionSeries
Indicates that one work served as the creative basis or inspiration for the development of a television series.
-
B.
sponsoredTelevisionSeries
Indicates that an entity provides financial or promotional support for a particular television series.
-
C.
broadcastNetwork
chosen
Indicates that one entity serves as the television or radio network that broadcasts the programming or content of another entity.
-
D.
televisionFilm
Indicates that the subject is a television film (a movie produced for or originally distributed via television).
-
E.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 3, 2026, 4:09 p.m.