Triple
T13745281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyzoo |
E330194
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Torae |
E1060627
|
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: Torae | Statement: [Skyzoo, associatedAct, Torae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torae Context triple: [Skyzoo, associatedAct, Torae]
-
A.
Torae
chosen
Torae is an American underground hip-hop rapper and songwriter known for his gritty lyricism and collaborations with prominent New York emcees and producers.
-
B.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
C.
Tora
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
-
D.
Takkaze
Takkaze is a river in northern Ethiopia that flows through deep gorges before joining the Atbarah River, ultimately contributing to the Nile basin.
-
E.
Torola
Torola is a small rural municipality located in the mountainous Morazán Department of northeastern El Salvador.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0211ba5481909fbd5b447e3d5a02 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b06b7d1481909a318086d76d3af0 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:08 p.m.