Triple
T16330846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Blackmon |
E396545
|
entity |
| Predicate | seasonAwardedBiletnikoff |
P122984
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Justin Blackmon, seasonAwardedBiletnikoff, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonAwardedBiletnikoff Context triple: [Justin Blackmon, seasonAwardedBiletnikoff, 2010]
-
A.
ProBowlMVP
Indicates that the subject was selected as the Most Valuable Player in an NFL Pro Bowl game.
-
B.
SuperBowlMVPawards
Indicates that a person has received the Most Valuable Player (MVP) award for a particular Super Bowl game.
-
C.
runningBackAward
Indicates that an entity has received an award specifically recognizing performance or achievement in the role of running back.
-
D.
ProBowlMVPYear
Indicates the year in which a person was awarded the Pro Bowl Most Valuable Player (MVP) honor.
-
E.
defensivePlayerOfTheYear
Indicates that the subject was recognized or awarded as the top defensive player of the year in a particular league, competition, or season.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69e226eba9b48190af6e80d3d1c2aed3 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:07 a.m.