Triple
T11455600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cinemark Holdings, Inc. |
E271517
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Tinseltown USA |
E271520
|
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: Tinseltown USA | Statement: [Cinemark Holdings, Inc., hasBrand, Tinseltown USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinseltown USA Context triple: [Cinemark Holdings, Inc., hasBrand, Tinseltown USA]
-
A.
Tinseltown USA
chosen
Tinseltown USA is a movie theater brand operated by Cinemark Theatres, known for its multiplex cinemas offering mainstream film screenings.
-
B.
Tinsel Town
Tinsel Town is a Scottish television drama series set in Glasgow’s club scene, known for its gritty portrayal of nightlife and LGBTQ+ characters.
-
C.
Hollywoodland
Hollywoodland is a 2006 neo-noir mystery film that explores the real-life 1959 death of Superman actor George Reeves through a fictionalized investigation.
-
D.
“Tinsel Town”
“Tinsel Town” is a track by the rapper Seal IV, featured as part of his musical work.
-
E.
Hollywood
Hollywood is a residential neighborhood in the city of College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c7057688190ad8aa99426e4ca30 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3e197c881909db2e4e59c61c3c3 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 8, 2026, 9:35 p.m.