Triple
T24671083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chad Ochocinco |
E610834
|
entity |
| Predicate | ledLeagueInReceivingYardsSeason |
P69375
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Chad Ochocinco, ledLeagueInReceivingYardsSeason, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ledLeagueInReceivingYardsSeason Context triple: [Chad Ochocinco, ledLeagueInReceivingYardsSeason, 2006]
-
A.
ledLeagueInReceivingYards
chosen
Indicates that the subject had the highest total receiving yards in the league for a given season or time period.
-
B.
ledLeagueInReceivingTouchdowns
Indicates that the subject had the highest number of receiving touchdowns in the league for a given season or time period.
-
C.
singleSeasonReceivingYards
Indicates the total number of receiving yards a player gains during a single season.
-
D.
singleSeasonReceivingYardsSeason
Indicates the total number of receiving yards a player gained in a single football season.
-
E.
ledNFLInReceptions
Indicates that the subject had the highest number of pass receptions in the NFL over a specified season or time period.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:42 a.m.