Triple
T12503794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 54th Massachusetts Volunteer Infantry Regiment |
E298893
|
entity |
| Predicate | officerComposition |
P12729
|
FINISHED |
| Object | white officers |
—
|
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: white officers | Statement: [54th Massachusetts Volunteer Infantry Regiment, officerComposition, white officers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officerComposition Context triple: [54th Massachusetts Volunteer Infantry Regiment, officerComposition, white officers]
-
A.
officersServeAs
Indicates that certain individuals hold and perform the role or duties of officers within a particular organization or context.
-
B.
personnelComposition
chosen
Indicates the makeup or distribution of people or roles within a group, organization, or unit.
-
C.
commissionsOfficersFor
Indicates that an authority or organization formally appoints or authorizes individuals to serve as officers.
-
D.
officersAre
Indicates that certain individuals hold the role or position of officers within a specified group, organization, or context.
-
E.
officerCorps
Indicates that an entity belongs to, is part of, or is associated with a group or body of officers within an organization or institution.
- F. None of above.
Provenance (3 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfcea188190a929db1aabe1a286 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d43b7008190af2648fe09fd6d23 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:57 p.m.