Triple
T33880209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troy Stradford |
E868462
|
entity |
| Predicate | touchdownsInRookieSeason |
P177862
|
FINISHED |
| Object | multiple rushing and receiving touchdowns |
—
|
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 rushing and receiving touchdowns | Statement: [Troy Stradford, touchdownsInRookieSeason, multiple rushing and receiving touchdowns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touchdownsInRookieSeason Context triple: [Troy Stradford, touchdownsInRookieSeason, multiple rushing and receiving touchdowns]
-
A.
rushingTouchdownsInRookieSeason
Indicates the number of rushing touchdowns a player scored during their rookie season.
-
B.
touchdownsScored
Indicates the number of touchdowns that an entity has scored.
-
C.
rushingTouchdownsInSeason
Indicates the number of rushing touchdowns a player scores during a single season.
-
D.
NFLRookieRushingTouchdowns
Indicates the number of rushing touchdowns scored by an NFL player during their rookie season.
-
E.
passingTouchdownsCareer
Indicates the total number of touchdown passes a player has thrown over the course of their entire career.
- 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_69f34995b81c8190acdb45cea5a10eff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:48 a.m.