Triple
T5949993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggie White |
E132371
|
entity |
| Predicate | totalCareerSacksMajorPro |
P65397
|
FINISHED |
| Object | 221.5 |
—
|
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: 221.5 | Statement: [Reggie White, totalCareerSacksMajorPro, 221.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalCareerSacksMajorPro Context triple: [Reggie White, totalCareerSacksMajorPro, 221.5]
-
A.
nflCareerSacks
chosen
Indicates the number of times a defensive player has successfully tackled the opposing quarterback behind the line of scrimmage during their NFL career.
-
B.
sacksByCowboysDefense
Indicates that a quarterback was sacked by the Dallas Cowboys' defensive unit.
-
C.
careerReceivingYards
Indicates the total number of yards a player has gained by receiving the ball over the course of their entire career.
-
D.
singleGameSackRecordOpponent
Indicates the opposing team against which a player achieved their single-game record for most quarterback sacks.
-
E.
sackTotalNFL
Indicates the total number of quarterback sacks recorded in NFL play for the given entity.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0335806788190b6488ca8b73f7a63 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:02 p.m.