Triple
T17304720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waters |
E420130
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Crystal Waters |
E737927
|
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: Crystal Waters | Statement: [Waters, hasNotableBearer, Crystal Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crystal Waters Context triple: [Waters, hasNotableBearer, Crystal Waters]
-
A.
Crystal Waters
chosen
Crystal Waters is known as the spouse of Rodney King, the African American man whose 1991 beating by Los Angeles police officers and the subsequent acquittals sparked the 1992 LA riots.
-
B.
Jody Watley
Jody Watley is an American singer, songwriter, and former Shalamar member known for her influential role in 1980s and 1990s R&B, pop, and dance music.
-
C.
Patrice Rushen
Patrice Rushen is an American jazz and R&B pianist, singer, composer, and record producer best known for her 1982 hit song "Forget Me Nots."
-
D.
Deniece Williams
Deniece Williams is an American soul and R&B singer best known for her powerful four-octave range and hits like "Let's Hear It for the Boy."
-
E.
Tamia
Tamia is a Canadian R&B singer and songwriter known for hits like "So Into You" and "Stranger in My House."
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438fe1d408190a429d1dba50d0c58 |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180de8340819081eae1104d705de0 |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:41 a.m.