Triple
T8421439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Love |
E198862
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | VH1 |
E65444
|
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: VH1 | Statement: [Princess Love, employer, VH1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VH1 Context triple: [Princess Love, employer, VH1]
-
A.
VH1
chosen
VH1 is an American cable television network known for music-related programming and pop culture reality shows.
-
B.
MTV
MTV is an American cable television network best known for pioneering music video programming and youth-oriented pop culture content.
-
C.
MTV2
MTV2 is an American cable television channel that originally focused on alternative and rock music videos and later expanded to feature a mix of music, comedy, and reality programming aimed at a younger audience.
-
D.
MTV Classic
MTV Classic is a television channel that primarily airs nostalgic music videos and programming from MTV’s earlier decades.
-
E.
MTV Networks
MTV Networks is a major American media company best known for operating the MTV cable channel and related youth-oriented television and entertainment brands.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84ca7b348190abab25e79b05407f |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc3c0d508190bc0c7bd89f040967 |
completed | April 2, 2026, 8:06 p.m. |
Created at: March 30, 2026, 6:06 p.m.