Triple
T605888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Bowl LII |
E11592
|
entity |
| Predicate | EaglesFirstSuperBowlTitle |
P17022
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Super Bowl LII, EaglesFirstSuperBowlTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EaglesFirstSuperBowlTitle Context triple: [Super Bowl LII, EaglesFirstSuperBowlTitle, true]
-
A.
EaglesSuperBowlAppearanceNumber
Indicates the ordinal number of times the Philadelphia Eagles have appeared in a Super Bowl.
-
B.
EaglesQuarterback
Indicates that the subject is a quarterback who plays for the Philadelphia Eagles football team.
-
C.
wonSuperBowlWith
Indicates that one entity (typically a player, coach, or team member) achieved a Super Bowl victory while being part of a specific team.
-
D.
passesCompletedInSuperBowlXXI
Indicates the number of passes a player successfully completed during Super Bowl XXI.
-
E.
team1SuperBowlTitles
Indicates the number of Super Bowl championships that the first team has won.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df34abc8190a578c8c2ab3d28e4 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cf8fc1c81908a9c7df552aa1a59 |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49def31ec81909dc53e70f4a36eda |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:35 p.m.