Triple
T23545701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ziaire Williams |
E577886
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ziaire |
—
|
NE NERFINISHED |
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: Ziaire | Statement: [Ziaire Williams, givenName, Ziaire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ziaire Context triple: [Ziaire Williams, givenName, Ziaire]
-
A.
Jahleel
Jahleel is a biblical figure known as one of the sons of Zebulun and a progenitor of a clan within the tribe of Israel.
-
B.
Rashaan
Rashaan is a masculine given name most notably borne by former American football running back Rashaan Salaam.
-
C.
Ziaire Williams
chosen
Ziaire Williams is an American professional basketball player, known as a highly touted wing prospect who played college basketball at Stanford before being drafted into the NBA.
-
D.
Rasheen
Rasheen is a young boy in the film "Happythankyoumoreplease" who becomes central to the emotional growth and self-discovery of the adults who take him in.
-
E.
Jameer
Jameer is a masculine given name most notably associated with former NBA All-Star point guard Jameer Nelson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aeca3a408190899989fc8175e9c5 |
completed | April 29, 2026, 7:10 a.m. |
Created at: April 17, 2026, 6:11 p.m.