Triple
T6855091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Allen |
E158116
|
entity |
| Predicate | numberOfNBAAllDefensiveTeamSelections |
P11647
|
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: [Tony Allen, numberOfNBAAllDefensiveTeamSelections, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNBAAllDefensiveTeamSelections Context triple: [Tony Allen, numberOfNBAAllDefensiveTeamSelections, 6]
-
A.
NBAAllDefensiveTeamSelections
chosen
Indicates the number of times an entity has been selected to an NBA All-Defensive Team.
-
B.
NBAAllDefensiveFirstTeamSelections
Indicates the number of times an entity has been selected to the NBA All-Defensive First Team.
-
C.
NBAAllDefensivePlayerOfTheYearAwards
Indicates that the subject has received the NBA Defensive Player of the Year award a specified number of times.
-
D.
NBAAllDefensiveSecondTeamSelections
Indicates the number of times an entity has been selected to the NBA All-Defensive Second Team.
-
E.
numberOfDefensivePlayerOfTheYearAwards
Indicates the count of times an entity has received the Defensive Player of the Year award.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d86d5a54819088537ada9f8d1105 |
completed | March 27, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.