Triple
T2825140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zach Thomas |
E54901
|
entity |
| Predicate | tacklesLeaderNFLSeasons |
P43553
|
FINISHED |
| Object | multiple seasons |
—
|
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: multiple seasons | Statement: [Zach Thomas, tacklesLeaderNFLSeasons, multiple seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tacklesLeaderNFLSeasons Context triple: [Zach Thomas, tacklesLeaderNFLSeasons, multiple seasons]
-
A.
nflRushingYardsLeader
Indicates the player who gained the most rushing yards in the NFL over a specified season or time period.
-
B.
nflRushingTouchdownsLeader
Indicates the player who led all others in the number of rushing touchdowns in a given NFL season or context.
-
C.
ledNFLInPassingTouchdowns
Indicates that the subject was the league leader in passing touchdowns in the NFL for a given season or time period.
-
D.
GreatestShowOnTurfQuarterback
Indicates that the subject is a quarterback who played for the St. Louis Rams during their high-powered offensive era commonly known as "The Greatest Show on Turf."
-
E.
NFLAllTimeRushingYardsLeader
Indicates that the subject is the player who has accumulated the most career rushing yards in NFL history.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abdf15b7288190a03d1193cc0544a6 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd08f2f481908c3da8a9c7a00552 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abdf13d2b8819097b8edaaea90dbe2 |
completed | March 7, 2026, 8:17 a.m. |
Created at: March 6, 2026, 9:59 p.m.