Triple
T12486284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anquan Boldin |
E298439
|
entity |
| Predicate | superBowlXLVIIReceivingYards |
P105255
|
FINISHED |
| Object | 104 |
—
|
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: 104 | Statement: [Anquan Boldin, superBowlXLVIIReceivingYards, 104]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: superBowlXLVIIReceivingYards Context triple: [Anquan Boldin, superBowlXLVIIReceivingYards, 104]
-
A.
ledNFLInReceptions
Indicates that the subject had the highest number of pass receptions in the NFL over a specified season or time period.
-
B.
SuperBowlXLVIISeason
Indicates that the subject is associated with, participates in, or is otherwise relevant to the NFL season culminating in Super Bowl XLVII.
-
C.
sportNumberOfReceptionsNFL
Indicates the number of receptions a player has made in NFL games.
-
D.
singleSeasonReceivingYards
Indicates the total number of receiving yards a player gains during a single season.
-
E.
singleSeasonReceivingYardsSeason
Indicates the total number of receiving yards a player gained in a single football 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e8a706c8190873623eab7db607d |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d41f3cc8190a3331fb9a895306f |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e87e0e88190bc49dcfe4954c7e0 |
completed | April 10, 2026, 7:24 p.m. |
Created at: April 8, 2026, 9:56 p.m.