Triple
T32584239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Butz |
E832874
|
entity |
| Predicate | leftTeamInYear |
P174623
|
FINISHED |
| Object | Washington Redskins, 1988 |
—
|
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: Washington Redskins, 1988 | Statement: [Dave Butz, leftTeamInYear, Washington Redskins, 1988]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leftTeamInYear Context triple: [Dave Butz, leftTeamInYear, Washington Redskins, 1988]
-
A.
firstTeam1Season
Indicates that a team is participating in its first season within a particular league or competition.
-
B.
yearsWithTeam
Indicates the number of years an entity (typically a person) has been associated with or part of a particular team.
-
C.
managedTeamToYear
Indicates the specific year during which an entity managed a particular team.
-
D.
teamInauguralSeason
Indicates the first season in which a team officially began competing or participating.
-
E.
teamStartYear
Indicates the year in which an entity (such as a person or organization) began its association with a particular team.
- 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_69f349289adc81909f4374a58ec35a39 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c66c41b481908abc65d5d284bcee |
completed | May 3, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2c138481908afa3ee3e91f8900 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c2df27ec8190912ec8eb488836d0 |
completed | May 3, 2026, 3:37 a.m. |
Created at: May 1, 2026, 1:04 a.m.