Triple
T12141059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallam Tennyson |
E289182
|
entity |
| Predicate | officeStart (Governor of South Australia) |
P103588
|
FINISHED |
| Object | 1899-04-10 |
—
|
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: 1899-04-10 | Statement: [Hallam Tennyson, officeStart (Governor of South Australia), 1899-04-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStart (Governor of South Australia) Context triple: [Hallam Tennyson, officeStart (Governor of South Australia), 1899-04-10]
-
A.
officeStart (Governor of Utah Territory)
Indicates the date on which an individual began serving as Governor of Utah Territory.
-
B.
officeStart (Governor-General of Pakistan)
Indicates the date or point in time when the individual began serving as Governor-General of Pakistan.
-
C.
officeStart (Chairman of State Council)
Indicates the date or point in time when an individual began serving as Chairman of the State Council.
-
D.
startTime (Governor of Victoria)
Indicates the point in time at which someone begins serving as Governor of Victoria.
-
E.
officeStartTime (Governor of Kursk Oblast)
Indicates the time at which the Governor of Kursk Oblast officially begins their term in office.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.