Triple
T15449090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018–19 NBA season |
E370100
|
entity |
| Predicate | reboundsLeader |
P2667
|
FINISHED |
| Object | Andre Drummond |
E186341
|
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: Andre Drummond | Statement: [2018–19 NBA season, reboundsLeader, Andre Drummond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andre Drummond Context triple: [2018–19 NBA season, reboundsLeader, Andre Drummond]
-
A.
Andre Drummond
chosen
Andre Drummond is an American professional basketball center known as one of the NBA’s most dominant rebounders of the 2010s.
-
B.
Nerlens Noel
Nerlens Noel is an American professional basketball center known for his elite shot-blocking and defensive versatility in the NBA.
-
C.
Hassan Whiteside
Hassan Whiteside is an American professional basketball center known for his elite rim protection, shot-blocking prowess, and rebounding in the NBA.
-
D.
Bobby Portis
Bobby Portis is an American professional basketball player, known for his collegiate stardom at Arkansas and his role as a key frontcourt contributor in the NBA, including with the Milwaukee Bucks.
-
E.
Grant Williams
Grant Williams was an American film and television actor best known for his roles in 1950s and 1960s Hollywood productions, including notable science fiction and drama films.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef9334c81908541e231b43eb012 |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b1e9688190a283dbc552072ce0 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.