Triple
T34458103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meadowlark Lemon |
E884556
|
entity |
| Predicate | numberOfGamesWithHarlemGlobetrotters |
P205437
|
FINISHED |
| Object | over 16000 |
—
|
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: over 16000 | Statement: [Meadowlark Lemon, numberOfGamesWithHarlemGlobetrotters, over 16000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesWithHarlemGlobetrotters Context triple: [Meadowlark Lemon, numberOfGamesWithHarlemGlobetrotters, over 16000]
-
A.
hasNBAFranchiseHistoryFrom
Indicates that an entity has a history of operating an NBA franchise originating from a specified location or organization.
-
B.
numberOfNBLChampionships
Indicates the number of National Basketball League (NBL) championships that an entity has won.
-
C.
NBAFinalsAppearances
Indicates the number of times an entity has participated in the NBA Finals series.
-
D.
NBACareerGames
Indicates the total number of games an individual has played over the course of their NBA career.
-
E.
numberOfCBAChampionships
Indicates the total count of CBA championships that an entity has won.
- F. None of above. chosen
Provenance (4 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_69f349c73a94819094dfcf50d00620b8 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2 a.m.