Triple
T13211067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandi's Wedding |
E314489
|
entity |
| Predicate | originalChannel |
P2595
|
FINISHED |
| Object | Bravo |
E65800
|
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 | Statement: [Kandi's Wedding, originalChannel, Bravo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bravo Context triple: [Kandi's Wedding, originalChannel, Bravo]
-
A.
Bravo
Bravo is a company best known for operating the Bravo app, a platform that facilitates cashless tipping and payments.
-
B.
Bravo
chosen
Bravo is an American cable television network best known for its reality TV programming and pop culture–focused entertainment.
-
C.
Brava
Brava is a small, mountainous island in the Cape Verde archipelago known for its lush vegetation, volcanic landscapes, and traditional Creole culture.
-
D.
Best of the Best
Best of the Best is a 1989 American martial arts sports drama film about a U.S. taekwondo team competing against South Korea, known for its intense tournament action and ensemble cast.
-
E.
The Bravados
The Bravados is a 1958 American Western film starring Gregory Peck as a vengeful rancher hunting down a group of escaped convicts.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7edb40819095dfa45d3c61a0e3 |
completed | May 3, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:17 p.m.