Triple
T12719299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whitey Herzog |
E303931
|
entity |
| Predicate | managedYearsWithRangers |
P106552
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Whitey Herzog, managedYearsWithRangers, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managedYearsWithRangers Context triple: [Whitey Herzog, managedYearsWithRangers, 1973]
-
A.
managedYearsReds
Indicates the years during which a person served as the manager of the Cincinnati Reds baseball team.
-
B.
managedTeamToYear
Indicates the specific year during which an entity managed a particular team.
-
C.
lastPlannedRallyYear
Indicates the year in which the most recent planned rally for an entity is scheduled or was scheduled to occur.
-
D.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
-
E.
yearsWithTeam
Indicates the number of years an entity (typically a person) has been associated with or part of 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:24 p.m.