Triple
T14432755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Gastineau |
E357874
|
entity |
| Predicate | singleSeasonSacks1984 |
P114256
|
FINISHED |
| Object | 22.0 |
—
|
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: 22.0 | Statement: [Mark Gastineau, singleSeasonSacks1984, 22.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singleSeasonSacks1984 Context triple: [Mark Gastineau, singleSeasonSacks1984, 22.0]
-
A.
nflCareerSacks
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.
singleGameSackRecordOpponent
Indicates the opposing team against which a player achieved their single-game record for most quarterback sacks.
-
D.
singleGameSackRecordDate
Indicates the date on which a single-game sack record was achieved.
-
E.
RavensDefensiveTouchdowns
Indicates the number of touchdowns scored by the Ravens’ defense, typically by returning interceptions, fumbles, or blocked kicks for a score.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91471a648190adb7b283a6a85c3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:18 a.m.