Triple
T1620398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Morris |
E35016
|
entity |
| Predicate | roleInBankOfNorthAmerica |
P31015
|
FINISHED |
| Object | principal organizer |
—
|
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: principal organizer | Statement: [Robert Morris, roleInBankOfNorthAmerica, principal organizer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBankOfNorthAmerica Context triple: [Robert Morris, roleInBankOfNorthAmerica, principal organizer]
-
A.
roleInColonies
Indicates the specific function, position, or responsibility an entity holds within one or more colonies.
-
B.
allyOfUnitedStates
Indicates a relationship where an entity maintains a supportive, cooperative, or formally allied partnership with the United States.
-
C.
roleInGoldRush
Indicates that an entity played a specific role or had a particular involvement in the historical event known as the Gold Rush.
-
D.
associatedConfederation
Indicates a relationship where an entity is linked to, belongs to, or is formally connected with a specific confederation.
-
E.
occupationOf
Indicates that one entity holds or performs the job, role, or profession associated with another entity.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a99ca48c888190876500df1a885c11 |
completed | March 5, 2026, 3:09 p.m. |
Created at: March 4, 2026, 7:28 p.m.