Triple
T20899919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HBO Comedy |
E514641
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | HBO2 |
—
|
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: HBO2 | Statement: [HBO Comedy, sisterChannel, HBO2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HBO2 Context triple: [HBO Comedy, sisterChannel, HBO2]
-
A.
HBO2
chosen
HBO2 is a secondary premium cable and streaming channel from HBO that offers additional movies, series, and original programming alongside the main HBO service.
-
B.
HBO
HBO is a premium American television and streaming network known for producing influential, high-quality original series, films, and documentaries such as "The Sopranos," "Game of Thrones," and "Succession."
-
C.
HBO
HBO is the Dutch sector of universities of applied sciences that focuses on professionally oriented higher education and practical training.
-
D.
HBO Sports
HBO Sports is a division of the premium cable network HBO known for producing high-profile sports documentaries, boxing events, and investigative sports journalism.
-
E.
HBN
HBN is the vehicle registration code used for the district of Hildburghausen in the German state of Thuringia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f8a1108190bce3d31331290ced |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8fa5228819084341dbc813cc1e3 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.