Triple
T22288167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 NBA Finals |
E550917
|
entity |
| Predicate | championshipNumberForPlayerMichaelJordan |
P147925
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [1998 NBA Finals, championshipNumberForPlayerMichaelJordan, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championshipNumberForPlayerMichaelJordan Context triple: [1998 NBA Finals, championshipNumberForPlayerMichaelJordan, 6]
-
A.
numberOfNBLChampionships
Indicates the number of National Basketball League (NBL) championships that an entity has won.
-
B.
championshipNumberForFranchise
Indicates the number of championships that have been won by a given franchise.
-
C.
championFirstNBATitle
Indicates that the subject won its first NBA championship title in the referenced season or event.
-
D.
NBAChampionshipSeasonAsPlayer
Indicates the seasons in which a person, acting as a player, was on a team that won the NBA championship.
-
E.
MVPJerseyNumber
Indicates the jersey number worn by the player who received the MVP (Most Valuable Player) award in a given context.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1560896348190985725ac8ad406b3 |
completed | April 29, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69e72ffa438481908f80879aef2a589b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e75dc7b08081909d64441e979c2fa4 |
completed | April 21, 2026, 11:21 a.m. |
Created at: April 16, 2026, 8:40 p.m.