Triple
T35774518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1946 NFL Championship |
E1034253
|
entity |
| Predicate | gameNumberInNFLHistory |
P183655
|
FINISHED |
| Object | 14th NFL Championship Game |
—
|
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: 14th NFL Championship Game | Statement: [1946 NFL Championship, gameNumberInNFLHistory, 14th NFL Championship Game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameNumberInNFLHistory Context triple: [1946 NFL Championship, gameNumberInNFLHistory, 14th NFL Championship Game]
-
A.
seasonNumberInNFLHistory
Indicates which numbered season in the overall history of the NFL a particular season is.
-
B.
nflGamesPlayed
Indicates the number of official NFL games in which a given player has participated.
-
C.
gamesStartedNFL
Indicates that the subject has started (been in the starting lineup for) one or more games in the National Football League.
-
D.
nflRecord
Indicates the win-loss-tie performance record a team or individual has accumulated in NFL competition.
-
E.
previousNFLChampionshipGame
Indicates that one NFL championship game immediately preceded another in chronological order.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a1fa657c8190b6973f4d60b28e60 |
completed | May 3, 2026, 7:28 p.m. |
| PD | Predicate disambiguation | batch_69f7a070e23881909a233370acb57384 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a162672481909773f8383d91159a |
completed | May 3, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:06 p.m.