Triple
T25769826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Warren Moon |
E648986
|
entity |
| Predicate | NFLPassingTouchdownsCareer |
P100924
|
FINISHED |
| Object | 291 |
—
|
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: 291 | Statement: [Harold Warren Moon, NFLPassingTouchdownsCareer, 291]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NFLPassingTouchdownsCareer Context triple: [Harold Warren Moon, NFLPassingTouchdownsCareer, 291]
-
A.
careerPassingTouchdownsNFL
chosen
Indicates the total number of touchdown passes a player has thrown over the course of their NFL career.
-
B.
AFLPassingTouchdownsLeader
Indicates that the subject is the player who led the AFL in passing touchdowns over a specified season or time period.
-
C.
careerPassingYardsNFL
Indicates the total number of passing yards a player has accumulated over their entire career in the NFL.
-
D.
careerNFLTouchdowns
Indicates the total number of touchdowns a player has scored over the course of their NFL career.
-
E.
passingTouchdownsCareer
Indicates the total number of touchdown passes a player has thrown over the course of their entire career.
- F. None of above.
Provenance (3 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_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 22, 2026, 5:13 a.m.