Triple
T12090995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1932 New York gubernatorial election |
E287938
|
entity |
| Predicate | William J. Donovan-occupation |
P103451
|
FINISHED |
| Object | lawyer |
—
|
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: lawyer | Statement: [1932 New York gubernatorial election, William J. Donovan-occupation, lawyer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: William J. Donovan-occupation Context triple: [1932 New York gubernatorial election, William J. Donovan-occupation, lawyer]
-
A.
roleOfLandonDonovan
Indicates that the specified role or position is held or performed by Landon Donovan.
-
B.
commandingOfficerDuringDoolittleRaid
Indicates that one entity served as the commanding officer of the other entity specifically during the Doolittle Raid operation.
-
C.
Cornelius Ennis
Indicates a relationship or association involving the entity or name “Cornelius Ennis,” such as authorship, attribution, or participation in an event or context.
-
D.
notableCommanderAmerican
Indicates that the subject served as a notable military commander who is American.
-
E.
wasCommandantOf
Indicates that one entity served as the commandant (chief commanding officer) of another entity, typically a military unit, institution, or facility.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9178814e081908f67e3846718530e |
completed | April 10, 2026, 3:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.