Triple
T18648106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Fairley |
E455855
|
entity |
| Predicate | tacklesForLossCollege2010 |
P132876
|
FINISHED |
| Object | 24.0 |
—
|
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: 24.0 | Statement: [Nick Fairley, tacklesForLossCollege2010, 24.0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tacklesForLossCollege2010 Context triple: [Nick Fairley, tacklesForLossCollege2010, 24.0]
-
A.
coachingRecordCollegeLosses
Indicates the number of games a coach’s college team has lost in their coaching record.
-
B.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
-
C.
collegiatePassingYardsLeader
Indicates the player who recorded the highest total passing yards in collegiate football over a specified season or time period.
-
D.
HeismanTrophyYear
Indicates the specific year in which an entity received or was associated with the Heisman Trophy award.
-
E.
collegeCareerRushingYardsRecord
Indicates the total number of rushing yards a player accumulated over their entire college career, as recorded in official statistics.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500f007c81908b1835569be913d7 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:47 a.m.