Triple
T16388809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milt Stegall |
E397993
|
entity |
| Predicate | CFLAllTimeReceivingYardsLeaderAtRetirement |
P123221
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Milt Stegall, CFLAllTimeReceivingYardsLeaderAtRetirement, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CFLAllTimeReceivingYardsLeaderAtRetirement Context triple: [Milt Stegall, CFLAllTimeReceivingYardsLeaderAtRetirement, yes]
-
A.
CFLAllStarSelections
Indicates the number of times an individual has been selected as a CFL (Canadian Football League) All-Star.
-
B.
careerReceivingYards
Indicates the total number of yards a player has gained by receiving the ball over the course of their entire career.
-
C.
CFLMostOutstandingPlayerAward
Indicates that an entity has received the Canadian Football League's Most Outstanding Player Award.
-
D.
ledLeagueInReceivingYards
Indicates that the subject had the highest total receiving yards in the league for a given season or time period.
-
E.
ledNFLInReceptions
Indicates that the subject had the highest number of pass receptions in the NFL over a specified season or time period.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e3263f18988190800b921381d60c1b |
completed | April 18, 2026, 6:35 a.m. |
| PD | Predicate disambiguation | batch_69e226f94dd48190b7b8e0e983738a67 |
completed | April 17, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69e24555bb6c8190977cf5c5f9149056 |
completed | April 17, 2026, 2:36 p.m. |
Created at: April 10, 2026, 5:08 a.m.