Triple
T11863819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slick Watts |
E282230
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Donald Watts Jr. |
E950890
|
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: Donald Watts Jr. | Statement: [Slick Watts, child, Donald Watts Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Watts Jr. Context triple: [Slick Watts, child, Donald Watts Jr.]
-
A.
Donald Earl Watts
chosen
Donald Earl "Slick" Watts is a former American professional basketball player best known as a flashy, headband-wearing point guard for the Seattle SuperSonics in the 1970s.
-
B.
Roy Watts
Roy Watts is an editor known for his work on the British television drama series "Kes."
-
C.
Jeff Watts
Jeff "Tain" Watts is an acclaimed American jazz drummer known for his powerful, innovative playing and long association with Wynton and Branford Marsalis.
-
D.
Andrew Watts
Andrew Watts is a British countertenor known for his performances in contemporary opera and concert repertoire.
-
E.
Michael Watts
Michael Watts is a notable individual whose name is associated with the surname Watts, though additional context is needed to distinguish his specific identity or achievements.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a73883508190a78b5f4ba4a220df |
completed | April 10, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f417a954e881909fdd9626d41229e2 |
completed | May 1, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:43 p.m.