Triple
T12763273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow Media Holdings |
E305048
|
entity |
| Predicate | owned |
P347
|
FINISHED |
| Object | Bravo (earlier years) |
E83558
|
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: Bravo (earlier years) | Statement: [Rainbow Media Holdings, owned, Bravo (earlier years)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bravo (earlier years) Context triple: [Rainbow Media Holdings, owned, Bravo (earlier years)]
-
A.
Bravo (TV network)
chosen
Bravo is an American cable television network best known for its reality programming and pop-culture-focused series such as the Real Housewives franchise and Top Chef.
-
B.
Bravo
Bravo is an American cable television network best known for its reality TV programming and pop culture–focused entertainment.
-
C.
Bel-Air
Bel-Air is a Paris Métro station located in the 12th arrondissement of Paris, France.
-
D.
Bel-Air
Bel-Air is a central public transport interchange in Geneva, Switzerland, serving as a key node for tram and bus connections across the city.
-
E.
Bel-Air
Bel-Air is an upscale residential and commercial barangay in Makati City, Metro Manila, known for its gated villages and proximity to the central business district.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8f9f588190bffdea878856204b |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f298f881908ad77f2d0ab588a8 |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.