Triple
T4110322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Starz Entertainment |
E88556
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Starz |
E88556
|
NE 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: Starz | Statement: [Starz Entertainment, brand, Starz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starz Context triple: [Starz Entertainment, brand, Starz]
-
A.
Starz Entertainment
chosen
Starz Entertainment is an American premium cable and streaming media company known for producing and distributing original television series and films.
-
B.
Cinemax
Cinemax is an American premium cable and satellite television network known for airing feature films, original series, and late-night programming.
-
C.
Paramount Vantage
Paramount Vantage was a specialty film division of Paramount Pictures focused on producing and distributing independent, art-house, and prestige films.
-
D.
The Weinstein Company
The Weinstein Company was an American independent film studio and distributor founded by Bob and Harvey Weinstein, known for producing and releasing numerous critically acclaimed and award-winning films.
-
E.
Netflix Studios
Netflix Studios is the in-house production arm of Netflix responsible for developing and producing original films and television series for the streaming platform.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01dbe9808190aefdc89e426cc4de |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f1f8ca0819090fb2acb3fe03d14 |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:41 p.m.