Triple
T25056657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Alden |
E627537
|
entity |
| Predicate | inceptionOfActivity |
P152369
|
FINISHED |
| Object | early 19th century |
—
|
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 19th century | Statement: [Timothy Alden, inceptionOfActivity, early 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionOfActivity Context triple: [Timothy Alden, inceptionOfActivity, early 19th century]
-
A.
inceptionOfPractice
chosen
Indicates the point or event at which a particular practice, activity, or custom begins or is first established.
-
B.
inceptionOfOrganization
Indicates that an event, action, or point in time marks the founding or formal beginning of an organization.
-
C.
inceptionDate
Indicates the date on which an entity, event, or relationship was first created, established, or began to exist.
-
D.
inceptionOfProject
Indicates the event or point in time at which a project is initiated or begins.
-
E.
occupationBegan
Indicates the point in time when an entity started holding a particular occupation or job.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f454a60cd0819096ffc489bb431732 |
completed | May 1, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:09 a.m.