Triple
T260871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Jones |
E5537
|
entity |
| Predicate | numberOfNBAChampionshipsWon |
P7479
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Sam Jones, numberOfNBAChampionshipsWon, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNBAChampionshipsWon Context triple: [Sam Jones, numberOfNBAChampionshipsWon, 10]
-
A.
wonNBAchampionshipWith
Indicates that an individual or team secured an NBA championship title while being a member of, or playing for, a specific team.
-
B.
NBAchampionships
chosen
Indicates that one entity has won a specified number of NBA championships (league titles) in professional basketball.
-
C.
NBAchampionshipYears
Indicates the specific years in which an entity (typically a team) won an NBA championship.
-
D.
NBAchampionshipYear
Indicates the specific year in which an entity (typically a team) won an NBA championship.
-
E.
NBAChampionshipTeam
Indicates that a team has won the NBA championship title for a given season.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25e2aba74819093eddd8d820260c0 |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b6c968c819094fc903a3a377e15 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.