Triple
T23870438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archie Griffin |
E592710
|
entity |
| Predicate | college100YardGames |
P154262
|
FINISHED |
| Object | 31 consecutive regular-season games |
—
|
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: 31 consecutive regular-season games | Statement: [Archie Griffin, college100YardGames, 31 consecutive regular-season games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: college100YardGames Context triple: [Archie Griffin, college100YardGames, 31 consecutive regular-season games]
-
A.
bowlGame
Indicates that the relationship or event involves a postseason college football bowl game in which a team participates or that is associated with an entity.
-
B.
playsCollegeTrackAndField
Indicates that an individual participates as an athlete in college-level track and field competitions.
-
C.
traditionalGame
Indicates that the relationship involves playing, practicing, or being associated with a game that is rooted in longstanding cultural or historical traditions.
-
D.
numberOfOutdoorGames
Indicates the quantity of outdoor games associated with or available to a given entity.
-
E.
homeGamesOf
Indicates that the subject is a home game (or set of home games) played by the specified team or entity.
- 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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae7c7f081909f6224f6f8207763 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 8:14 p.m.