Triple
T34500031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Nicholas Magazine |
E885724
|
entity |
| Predicate | editorTenureStart |
P179742
|
FINISHED |
| Object | 1873 |
—
|
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: 1873 | Statement: [St. Nicholas Magazine, editorTenureStart, 1873]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editorTenureStart Context triple: [St. Nicholas Magazine, editorTenureStart, 1873]
-
A.
initialTenure
Indicates the starting period or first phase of someone’s tenure in a role, position, or organization.
-
B.
athleticDirectorTenureStart
Indicates the date or time when an individual begins serving as an athletic director for an organization or institution.
-
C.
denotesTenure
Indicates that one entity holds or has held a position, role, or office at another entity for a specified period of time.
-
D.
notableManagerTenureStart
Indicates the date or point in time when a manager’s particularly significant or distinguished period of managing an entity began.
-
E.
tenureDependsOn
Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f727bde8f88190ad746ca515134ca1 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72739c30c81908642eef3feb3afcf |
completed | May 3, 2026, 10:45 a.m. |
| PDg | Predicate description generation | batch_69f727bd39b081908457590c3ba9b745 |
completed | May 3, 2026, 10:47 a.m. |
Created at: May 1, 2026, 2:01 a.m.