Triple
T25769827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Warren Moon |
E648986
|
entity |
| Predicate | CFLPassingYardsCareer |
P159246
|
FINISHED |
| Object | 21000+ |
—
|
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: 21000+ | Statement: [Harold Warren Moon, CFLPassingYardsCareer, 21000+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CFLPassingYardsCareer Context triple: [Harold Warren Moon, CFLPassingYardsCareer, 21000+]
-
A.
CFLAllTimeTouchdowns
Indicates the total number of touchdowns a player has scored over their entire career in the Canadian Football League.
-
B.
CFLAllTimeTouchdownRecordHolder
Indicates that the subject holds the record for the most touchdowns scored in CFL history.
-
C.
CFLAllTimeReceivingYardsLeaderAtRetirement
Indicates that an individual held the record for the most career receiving yards in CFL history at the time they retired.
-
D.
CFLAllTimeReceivingTouchdownsRecordHolder
Indicates the entity that holds the record for the most career receiving touchdowns in CFL history.
-
E.
CFLAllTimeTotalTouchdownsRecordSetDate
Indicates the date on which the CFL all-time total touchdowns record was established or set.
- 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_69e7ab322db0819092d6a2b3d4572e01 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fdf7917881909cd43323e3507cd5 |
completed | May 2, 2026, 1:36 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 5:13 a.m.