Triple
T523495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RZA |
E10868
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | RZA |
E10868
|
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: RZA | Statement: [RZA, name, RZA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RZA Context triple: [RZA, name, RZA]
-
A.
RZA
chosen
RZA is an American rapper, producer, and founding member of the Wu-Tang Clan, renowned for his innovative, gritty production style that has deeply shaped the sound of modern hip-hop.
-
B.
DJ Premier
DJ Premier is a highly influential American hip-hop DJ and producer known for his gritty, sample-based boom-bap sound and classic work with Gang Starr and numerous rap legends.
-
C.
Deric "D-Dot" Angelettie
Deric "D-Dot" Angelettie is an American hip-hop producer and rapper best known for his work with Bad Boy Records and his influential role in shaping the sound of 1990s East Coast rap.
-
D.
Talib Kweli
Talib Kweli is an American rapper and activist known for his socially conscious lyrics and influential role in underground and alternative hip hop.
-
E.
LL Cool J
LL Cool J is an American rapper and actor who emerged as one of hip-hop’s early stars and later became widely known for his roles in film and television.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b4f01881908b408357ff113308 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e62e2b3c81908215dab8c0717495 |
completed | March 2, 2026, 1:21 a.m. |
Created at: Feb. 28, 2026, 1:12 p.m.