Triple
T13394159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethel Waters |
E319654
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Waters |
E420130
|
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: Waters | Statement: [Ethel Waters, familyName, Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waters Context triple: [Ethel Waters, familyName, Waters]
-
A.
Waters
chosen
Waters is a common English surname borne by numerous individuals across various professions and regions.
-
B.
All Waters
"All Waters" is a song by Perfume Genius, featured on his 2012 album "Put Your Back N 2 It," known for its intimate, emotionally raw style.
-
C.
Hydro
Hydro is a music producer known for collaborating with the artist Nibiru.
-
D.
Watkins
Watkins is a surname most prominently associated with Sherron Watkins, the former Enron vice president who became widely known as a corporate whistleblower.
-
E.
Wateren
Wateren is a small village in the Dutch province of Drenthe, known for its rural character and proximity to heathlands and forests.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d892d08190b1b192b93fe3d72d |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7306fb8348190a325a07a1ac858fd |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.