Triple
T20271441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Ray Dawson |
E499101
|
entity |
| Predicate | AFLPassingTouchdownsLeader |
P139493
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Leonard Ray Dawson, AFLPassingTouchdownsLeader, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AFLPassingTouchdownsLeader Context triple: [Leonard Ray Dawson, AFLPassingTouchdownsLeader, 1962]
-
A.
gameWinningTouchdownPasser
Indicates that the subject is the player who threw the touchdown pass that secured the victory in the game for the subject's team.
-
B.
nflRushingTouchdownsLeader
Indicates the player who led all others in the number of rushing touchdowns in a given NFL season or context.
-
C.
NFLPassingTitle
Indicates that a player has led the NFL in passing yards (won the passing title) for a given season.
-
D.
careerPassingTouchdownsNFL
Indicates the total number of touchdown passes a player has thrown over the course of their NFL career.
-
E.
NFLTouchdownPasses
Indicates that a player successfully throws a pass that results in a touchdown being scored in an NFL game.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675de35188190840dc7d04c1d5fd9 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:42 p.m.