Triple
T26053974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1980 Dallas Cowboys season |
E648062
|
entity |
| Predicate | fellOneWinShortOf |
P159900
|
FINISHED |
| Object | Super Bowl XV |
—
|
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: Super Bowl XV | Statement: [1980 Dallas Cowboys season, fellOneWinShortOf, Super Bowl XV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fellOneWinShortOf Context triple: [1980 Dallas Cowboys season, fellOneWinShortOf, Super Bowl XV]
-
A.
madeTheKesselRunIn
Indicates that an entity completed the Kessel Run within a specified amount of time or distance.
-
B.
fellOn
Indicates that one entity moved downward, typically due to gravity, and came to rest on the surface of another entity.
-
C.
fellWith
Indicates that one entity fell at the same time as, or in conjunction with, another entity.
-
D.
statusInRogueOne
Indicates the role or condition an entity has specifically within the context of the film "Rogue One," such as whether and how it appears or participates in that storyline.
-
E.
losingCaptain
Indicates that the referenced captain is the one who lost in a particular contest, game, or competitive event.
- 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_69e77e8d419481908004e6318d28aaab |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f606611bfc8190ab2e2aa4d3b5bc3b |
completed | May 2, 2026, 2:12 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 22, 2026, 9:11 a.m.