Triple
T6652264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBA All-Rookie First Team 2006-2007 |
E150849
|
entity |
| Predicate | Andrea Bargnani_position |
P72086
|
FINISHED |
| Object | forward-center |
—
|
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: forward-center | Statement: [NBA All-Rookie First Team 2006-2007, Andrea Bargnani_position, forward-center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Andrea Bargnani_position Context triple: [NBA All-Rookie First Team 2006-2007, Andrea Bargnani_position, forward-center]
-
A.
SlamDunkContestWinner
Indicates that the subject is the winner of a slam dunk contest competition.
-
B.
allStarForward
Indicates that an entity serves as a forward in a sport and has been recognized as an all-star at that position.
-
C.
Michael Bradley
Indicates a relationship or action involving an entity named Michael Bradley, though the specific nature of the relationship or action is not defined by the predicate alone.
-
D.
BullsStarPlayer
Indicates that the entity is the primary or standout player for the Chicago Bulls basketball team.
-
E.
MVPNationality
Indicates that an entity’s nationality is associated with a specific Most Valuable Player (MVP) recognition or 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cc988c0081909d22b86ca299331c |
completed | March 27, 2026, 6:29 p.m. |
Created at: March 27, 2026, 2:01 p.m.