Triple
T26044637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle Leoch |
E647792
|
entity |
| Predicate | broadcasterOfTVDepiction |
P96611
|
FINISHED |
| Object | Starz |
—
|
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: Starz | Statement: [Castle Leoch, broadcasterOfTVDepiction, Starz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broadcasterOfTVDepiction Context triple: [Castle Leoch, broadcasterOfTVDepiction, Starz]
-
A.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
B.
televisionShowDepicted
Indicates that one entity is a television show in which the other entity is portrayed, represented, or appears.
-
C.
servedByTelevisionStation
Indicates that a particular area, audience, or service region is provided television broadcasting or coverage by a specific television station.
-
D.
hasTelevisionAdaptationBroadcaster
chosen
Indicates that the broadcaster specified is responsible for airing the television adaptation of the subject work or entity.
-
E.
broadcasterNationality
Indicates the country or national affiliation associated with a broadcaster.
- 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_69e77e8c88f08190858c4c81bd2e1b9a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f606597b48819084ffefda1f2dfc8f |
completed | May 2, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 9:09 a.m.