Triple
T35048401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharod Lamor White |
E1011264
|
entity |
| Predicate | teamSeasonReceivingYardsLeader |
P182047
|
FINISHED |
| Object | Atlanta Falcons |
—
|
NE NERFINISHED |
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: Atlanta Falcons | Statement: [Sharod Lamor White, teamSeasonReceivingYardsLeader, Atlanta Falcons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamSeasonReceivingYardsLeader Context triple: [Sharod Lamor White, teamSeasonReceivingYardsLeader, Atlanta Falcons]
-
A.
singleSeasonReceivingYards
Indicates the total number of receiving yards a player gains during a single season.
-
B.
singleSeasonReceivingYardsSeason
Indicates the total number of receiving yards a player gained in a single football season.
-
C.
singleSeasonReceivingYardsRecordYear
Indicates the year in which an entity achieved the record for most receiving yards in a single season.
-
D.
singleSeasonReceivingYardsRecordHolder
Indicates the entity that holds the record for the most receiving yards accumulated in a single season.
-
E.
touchdownReceptionLeaderForTeam
Indicates the player who has recorded the most touchdown receptions for a given team.
- 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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.