Triple
T33808221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom L. Johnson |
E866452
|
entity |
| Predicate | officeStartTime (Mayor of Cleveland) |
P200497
|
FINISHED |
| Object | 1901 |
—
|
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: 1901 | Statement: [Tom L. Johnson, officeStartTime (Mayor of Cleveland), 1901]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Mayor of Cleveland) Context triple: [Tom L. Johnson, officeStartTime (Mayor of Cleveland), 1901]
-
A.
officeStartTime (Governor of Illinois)
Indicates the time at which the Governor of Illinois officially begins their term in office.
-
B.
officeStartTime (Governor of Michigan)
Indicates the time at which the Governor of Michigan officially begins their term in office.
-
C.
officeStartTime (Mayor of Maui County)
Indicates the time at which the Mayor of Maui County officially begins their term in office.
-
D.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
-
E.
officeStartTime (Mayor of Vienna)
Indicates the time at which the Mayor of Vienna 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff90b673248190b4dda9e005642d17 |
completed | May 9, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69ff8d5bee1081909274052945e98a6f |
completed | May 9, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69ff90b5b98881909620033d78e4a9b8 |
completed | May 9, 2026, 7:53 p.m. |
Created at: May 1, 2026, 1:46 a.m.