Triple
T16416476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Sipe |
E398697
|
entity |
| Predicate | USFLPlayingYearsStart |
P123348
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Brian Sipe, USFLPlayingYearsStart, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USFLPlayingYearsStart Context triple: [Brian Sipe, USFLPlayingYearsStart, 1984]
-
A.
originalUSFLFranchise
Indicates that a franchise is one of the original member teams of the United States Football League (USFL).
-
B.
nflDebutYear
Indicates the year in which an individual first appeared in an official NFL game.
-
C.
USFLAllTimeTeam
Indicates that an entity is selected as a member of the United States Football League (USFL) all-time team, recognizing it as one of the best in league history.
-
D.
careerSacksUSFL
Indicates the total number of quarterback sacks a player has recorded over their entire career in the USFL.
-
E.
team2FirstNFLSeason
Indicates the first NFL season in which the second team participated or existed.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32877ff248190886717d3329421a7 |
completed | April 18, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69e226fe1dd08190865c181721f8c348 |
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, 5:09 a.m.