Triple
T26362282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clay Matthews Jr. |
E660238
|
entity |
| Predicate | tacklesInNFL |
P83133
|
FINISHED |
| Object | over 1,500 |
—
|
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: over 1,500 | Statement: [Clay Matthews Jr., tacklesInNFL, over 1,500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tacklesInNFL Context triple: [Clay Matthews Jr., tacklesInNFL, over 1,500]
-
A.
tacklesNFL
chosen
Indicates that one player forcefully brings another player to the ground or stops their forward progress in the context of an NFL play.
-
B.
formerNFLPlayerAssociated
Indicates that a person was previously an NFL player and has or had some form of association or connection with another entity (such as a team, organization, or individual).
-
C.
joinedNFL
Indicates that an entity became a member of, or started playing in, the National Football League (NFL).
-
D.
playedAmericanFootball
Indicates that one entity participated in playing American football, either professionally, collegiately, or at another organized level, during some period of time.
-
E.
spentEntireNflCareerWith
Indicates that an NFL player spent their whole professional NFL career playing for a single team, without ever joining another NFL franchise.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f610293cd88190894969a031f85edd |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10:52 p.m.