Triple
T24253922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacy J. Dalton |
E603608
|
entity |
| Predicate | peakCareerPeriod |
P144081
|
FINISHED |
| Object | early 1980s |
—
|
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: early 1980s | Statement: [Lacy J. Dalton, peakCareerPeriod, early 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakCareerPeriod Context triple: [Lacy J. Dalton, peakCareerPeriod, early 1980s]
-
A.
peakEmployment
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
-
B.
timeInCareer
chosen
Indicates the point or duration within an entity’s professional or occupational trajectory at which a related event, status, or condition occurs.
-
C.
partOfCareer
Indicates that one entity represents a role, position, or period that forms a component or phase within another entity’s overall career.
-
D.
collegeCareerPeriod
Indicates the time span during which an individual is engaged in their college or university education and related academic activities.
-
E.
managedCareerOf
Indicates that one entity was responsible for overseeing, directing, or handling the professional career of another entity.
- F. None of above.
Provenance (3 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b8bcb1c8190995e464a5f85fba9 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.