Triple
T4961618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Murphy |
E111420
|
entity |
| Predicate | endTime (as Mayor of Detroit) |
P61454
|
FINISHED |
| Object | 1933-01-02 |
—
|
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: 1933-01-02 | Statement: [Frank Murphy, endTime (as Mayor of Detroit), 1933-01-02]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTime (as Mayor of Detroit) Context triple: [Frank Murphy, endTime (as Mayor of Detroit), 1933-01-02]
-
A.
officeEndForMayorOfNewYorkCity
Indicates the date or point in time when a person’s term as Mayor of New York City ends.
-
B.
officeEndForMayorOfToronto
Indicates the date or event marking when an individual's term as Mayor of Toronto comes to an end.
-
C.
wonMayoraltyOf
Indicates that one entity won the election to become mayor of a specified place or jurisdiction.
-
D.
hasMayor
Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
-
E.
officeStartForMayorOfNewYorkCity
Indicates the date on which an individual begins their term in office as the Mayor of New York City.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:32 p.m.