Triple
T32804413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFC Championship Game 2008 season vs. Arizona Cardinals |
E838981
|
entity |
| Predicate | BrentCelekReceptions |
P54272
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [NFC Championship Game 2008 season vs. Arizona Cardinals, BrentCelekReceptions, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrentCelekReceptions Context triple: [NFC Championship Game 2008 season vs. Arizona Cardinals, BrentCelekReceptions, 10]
-
A.
ledNFLInReceptions
Indicates that the subject had the highest number of pass receptions in the NFL over a specified season or time period.
-
B.
touchdownReceptionLeaderForTeam
Indicates the player who has recorded the most touchdown receptions for a given team.
-
C.
sportNumberOfReceptionsNFL
chosen
Indicates the number of receptions a player has made in NFL games.
-
D.
ledLeagueInReceivingYards
Indicates that the subject had the highest total receiving yards in the league for a given season or time period.
-
E.
careerReceivingYards
Indicates the total number of yards a player has gained by receiving the ball over the course of their entire career.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:15 a.m.