Triple
T16874091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Proehl |
E421251
|
entity |
| Predicate | receptionYardsInNFL |
P10746
|
FINISHED |
| Object | over 8,000 |
—
|
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: over 8,000 | Statement: [Ricky Proehl, receptionYardsInNFL, over 8,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receptionYardsInNFL Context triple: [Ricky Proehl, receptionYardsInNFL, over 8,000]
-
A.
receptionYardsLeaderForTeam
Indicates the player who has accumulated the most receiving yards for a given team.
-
B.
yardsPerReception
Indicates the average number of yards gained each time a player makes a reception.
-
C.
yardsFromScrimmageCareerNFL
Indicates the total number of yards a player has gained from scrimmage over their entire NFL career.
-
D.
careerReceivingYards
chosen
Indicates the total number of yards a player has gained by receiving the ball over the course of their entire career.
-
E.
sportNumberOfReceptionsNFL
Indicates the number of receptions a player has made in NFL games.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.