Triple
T16316394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santana Lopez |
E396182
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Naya Rivera |
E396469
|
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: Naya Rivera | Statement: [Santana Lopez, portrayedBy, Naya Rivera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naya Rivera Context triple: [Santana Lopez, portrayedBy, Naya Rivera]
-
A.
Naya Rivera
chosen
Naya Rivera was an American actress and singer best known for her breakout role as Santana Lopez on the television series "Glee."
-
B.
Justine Lupe
Justine Lupe is an American actress known for her roles in television series such as Mr. Mercedes and Succession.
-
C.
Lea Michele
Lea Michele is an American actress and singer best known for her starring role as Rachel Berry on the television series "Glee" and her work on Broadway in productions like "Spring Awakening."
-
D.
Sharni Vinson
Sharni Vinson is an Australian actress and dancer best known for her roles in films like "Step Up 3D" and the horror movie "You're Next."
-
E.
Kadhja Bonet
Kadhja Bonet is an American singer, songwriter, and multi-instrumentalist known for her ethereal blend of soul, jazz, and psychedelic influences.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b1e9988190a1dce9f1ed7031df |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001fa9f6dc81908e6cbb4e340356e1 |
completed | May 10, 2026, 6:03 a.m. |
Created at: April 10, 2026, 5:06 a.m.