Triple
T16330845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Blackmon |
E396545
|
entity |
| Predicate | numberOfTimesAwardedBiletnikoff |
P122983
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Justin Blackmon, numberOfTimesAwardedBiletnikoff, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesAwardedBiletnikoff Context triple: [Justin Blackmon, numberOfTimesAwardedBiletnikoff, 2]
-
A.
GoldGloveCount
Indicates the number of Gold Glove awards an entity has received.
-
B.
NFLMVPawards
Indicates the number of times an entity has received the NFL Most Valuable Player (MVP) award.
-
C.
mostValuablePlayerAward
Indicates that an entity has received a "Most Valuable Player" award recognizing it as the most outstanding performer in a particular context or competition.
-
D.
numberOfABAMVPawards
Indicates the number of times an entity has received the ABA Most Valuable Player (MVP) award.
-
E.
ManagerOfTheYearAward
Indicates that an entity has received the "Manager of the Year" award in recognition of outstanding managerial performance.
- 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.