Triple
T3785169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Snake Moan |
E85512
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Rae |
E104924
|
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: Rae | Statement: [Black Snake Moan, mainCharacter, Rae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rae Context triple: [Black Snake Moan, mainCharacter, Rae]
-
A.
Rae
chosen
Rae is a given name used across various cultures, often as a short form or variant of names like Rachel or Raymond.
-
B.
Kori Rae
Kori Rae is a film producer best known for her work at Pixar Animation Studios, including producing the animated feature "Monsters University."
-
C.
Karli
Karli is a diminutive form of the given name Karl, commonly used as an affectionate or informal variant.
-
D.
Raí
Raí is a legendary Brazilian attacking midfielder best known for his successful spells with São Paulo FC and Paris Saint-Germain, as well as his role in Brazil’s 1994 World Cup–winning squad.
-
E.
Ryann
Ryann is a given name, typically used as a modern variant of the name Ryan.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dd80f08190a1704521a764e22c |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04a35448190a57f431ef703b1e1 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.