Triple
T6072345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall Faulk |
E135312
|
entity |
| Predicate | rushingTouchdownsCareer |
P14716
|
FINISHED |
| Object | 100+ |
—
|
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: 100+ | Statement: [Marshall Faulk, rushingTouchdownsCareer, 100+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rushingTouchdownsCareer Context triple: [Marshall Faulk, rushingTouchdownsCareer, 100+]
-
A.
careerRushingTouchdowns
chosen
Indicates the total number of rushing touchdowns a player has scored over the entire span of their career.
-
B.
rushingYards
Indicates the number of yards a player gains by running the ball on rushing plays.
-
C.
passingTouchdownsCareer
Indicates the total number of touchdown passes a player has thrown over the course of their entire career.
-
D.
rushingTouchdownsInRookieSeason
Indicates the number of rushing touchdowns a player scored during their rookie season.
-
E.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
- F. None of above.
Provenance (3 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05759d29481908912015e734ab943 |
completed | March 22, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69c049f21fe08190995df3c5c05fb8ea |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:11 p.m.