Triple
T12395730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Want You |
E296109
|
entity |
| Predicate | primaryComposer |
P23999
|
FINISHED |
| Object | Leon Ware |
E704984
|
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: Leon Ware | Statement: [I Want You, primaryComposer, Leon Ware]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leon Ware Context triple: [I Want You, primaryComposer, Leon Ware]
-
A.
Leon Ware
chosen
Leon Ware was an American soul singer, songwriter, and producer best known for his sensual, sophisticated R&B compositions and collaborations with artists like Marvin Gaye.
-
B.
Otis Williams
Otis Williams is an American baritone singer and founding member of the legendary Motown vocal group The Temptations.
-
C.
Mel Lewis
Mel Lewis was an influential American jazz drummer and bandleader best known for co-leading the Thad Jones/Mel Lewis Orchestra, a cornerstone of modern big band jazz.
-
D.
Teddy Jackson
Teddy Jackson is a musical artist known for contributing featured vocals to the holiday-themed project "Merry Christmas Lil Mama."
-
E.
Roger Brown
Roger Brown was a professional basketball player best known for his scoring and rebounding in the American Basketball Association during the 1970s.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63efa1520819093cdf6ab3025ab20 |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:54 p.m.