Triple
T22193435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rod Smith |
E548488
|
entity |
| Predicate | thousandYardReceivingSeasons |
P146788
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Rod Smith, thousandYardReceivingSeasons, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thousandYardReceivingSeasons Context triple: [Rod Smith, thousandYardReceivingSeasons, multiple]
-
A.
singleSeasonReceivingYards
Indicates the total number of receiving yards a player gains during a single season.
-
B.
careerReceivingYards
Indicates the total number of yards a player has gained by receiving the ball over the course of their entire career.
-
C.
1000YardRushingSeasons
Indicates that a player has achieved one or more seasons in which they rushed for at least 1,000 yards.
-
D.
singleSeasonReceivingYardsSeason
Indicates the total number of receiving yards a player gained in a single football season.
-
E.
achieved1000RushingAnd1000ReceivingYardsInSeason
Indicates that a player gained at least 1,000 rushing yards and at least 1,000 receiving yards within a single season.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae552908190b38c3d765bcfb68a |
completed | April 28, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:35 p.m.