Triple
T28565295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Airwolf |
E722658
|
entity |
| Predicate | laterSeasonProducedFor |
P194850
|
FINISHED |
| Object | USA Network |
—
|
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: USA Network | Statement: [Airwolf, laterSeasonProducedFor, USA Network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSeasonProducedFor Context triple: [Airwolf, laterSeasonProducedFor, USA Network]
-
A.
followedBySeason
Indicates that one season occurs immediately after another in chronological order.
-
B.
laterSeriesYear
Indicates that one entity is a series whose release or production year is later than that of another related series.
-
C.
laterSeriesName
Indicates that one series is a subsequent or later-titled continuation or successor of another series.
-
D.
laterProducedIn
Indicates that one production event or version occurred after another in time.
-
E.
producedSeason
Indicates that one entity produced or was responsible for creating a particular season of another entity, such as a TV series or show.
- F. None of above. chosen
Provenance (4 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
| PDg | Predicate description generation | batch_69fd8ccaee848190acd59d7d643ad062 |
completed | May 8, 2026, 7:12 a.m. |
Created at: April 28, 2026, 4:07 a.m.