Triple
T16165561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake Delhomme |
E392293
|
entity |
| Predicate | panthersFranchisePassingLeaderAtRetirement |
P121656
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Jake Delhomme, panthersFranchisePassingLeaderAtRetirement, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panthersFranchisePassingLeaderAtRetirement Context triple: [Jake Delhomme, panthersFranchisePassingLeaderAtRetirement, true]
-
A.
careerPassingYardsNFL
Indicates the total number of passing yards a player has accumulated over their entire career in the NFL.
-
B.
careerPassingTouchdownsNFL
Indicates the total number of touchdown passes a player has thrown over the course of their NFL career.
-
C.
NFLCompletionPercentageLeader
Indicates the relationship where a player holds the highest pass completion percentage in the NFL for a given season or time period.
-
D.
NFLPassingTitle
Indicates that a player has led the NFL in passing yards (won the passing title) for a given season.
-
E.
nflAllTimePointsLeader
Indicates that the subject is the player who holds the record for the most career points scored 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb2a25c819095437b25e6ab83f3 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e18445155481909892b8aaa23cc159 |
completed | April 17, 2026, 12:52 a.m. |
Created at: April 10, 2026, 5:02 a.m.