Triple
T24063420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest F. Benjamin |
E596018
|
entity |
| Predicate | ethnicGroupOfUnitCommanded |
P154712
|
FINISHED |
| Object | Jewish people |
—
|
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: Jewish people | Statement: [Ernest F. Benjamin, ethnicGroupOfUnitCommanded, Jewish people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicGroupOfUnitCommanded Context triple: [Ernest F. Benjamin, ethnicGroupOfUnitCommanded, Jewish people]
-
A.
ethnicGroupOfCommand
Indicates that a particular ethnic group is associated with, or has control over, a specific command or military/organizational leadership structure.
-
B.
notableMilitaryUnit
Indicates that an entity is a military unit that holds particular significance, prominence, or recognition in some context.
-
C.
militaryOrganization
Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
-
D.
hasMilitaryDivision
Indicates that an entity possesses, includes, or is organizationally associated with a specific military division.
-
E.
isNamedMilitaryUnit
Indicates that the subject is a military unit that has been given a specific official name.
- 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_69e288c25c008190850cf447940ab181 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1da5825548190b94cb6e708617a7d |
completed | April 29, 2026, 10:15 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:39 p.m.