Triple
T10402364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Williams |
E245177
|
entity |
| Predicate | numberOfNBASixthManOfTheYearAwards |
P92804
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [Lou Williams, numberOfNBASixthManOfTheYearAwards, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNBASixthManOfTheYearAwards Context triple: [Lou Williams, numberOfNBASixthManOfTheYearAwards, 3]
-
A.
numberOfTimesAwardedNBA Sixth Man of the Year Award
chosen
Indicates how many times an individual has received the NBA Sixth Man of the Year Award.
-
B.
NBA Sixth Man of the Year season
Indicates that a season is one in which a player received the NBA Sixth Man of the Year award.
-
C.
NaismithPlayerOfYearWinner
Indicates that the subject is the recipient of the Naismith Player of the Year award for a given season or context.
-
D.
NBArookieOfTheYearAwards
Indicates that the subject has received one or more NBA Rookie of the Year awards.
-
E.
NBAAllDefensivePlayerOfTheYearAwards
Indicates that the subject has received the NBA Defensive Player of the Year award a specified number of times.
- F. None of above.
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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e42da08190a5383df3df6d3c18 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:08 p.m.