Triple
T32804415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFC Championship Game 2008 season vs. Arizona Cardinals |
E838981
|
entity |
| Predicate | BrentCelekReceivingTouchdowns |
P175841
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [NFC Championship Game 2008 season vs. Arizona Cardinals, BrentCelekReceivingTouchdowns, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BrentCelekReceivingTouchdowns Context triple: [NFC Championship Game 2008 season vs. Arizona Cardinals, BrentCelekReceivingTouchdowns, 2]
-
A.
BrentCelekReceivingYards
Indicates the number of yards gained by Brent Celek when catching passes.
-
B.
touchdownReceptionLeaderForTeam
Indicates the player who has recorded the most touchdown receptions for a given team.
-
C.
careerReceivingTouchdowns
Indicates the total number of touchdowns a player has scored by receiving the ball over the course of their entire career.
-
D.
ledNFLInReceptions
Indicates that the subject had the highest number of pass receptions in the NFL over a specified season or time period.
-
E.
ledLeagueInReceivingTouchdowns
Indicates that the subject had the highest number of receiving touchdowns in the league for a given season or time period.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:15 a.m.