Triple
T7255453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vassall House (Cambridge, Massachusetts) |
E157706
|
entity |
| Predicate | originalOwnerAffiliation |
P60669
|
FINISHED |
| Object | Loyalist |
—
|
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: Loyalist | Statement: [Vassall House (Cambridge, Massachusetts), originalOwnerAffiliation, Loyalist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalOwnerAffiliation Context triple: [Vassall House (Cambridge, Massachusetts), originalOwnerAffiliation, Loyalist]
-
A.
ownerAffiliation
chosen
Indicates that an entity’s owner is formally associated with, belongs to, or is aligned with another entity or organization.
-
B.
originalOrganization
Indicates the organization from which an entity (such as a person, document, or resource) initially originated or was first associated.
-
C.
originalOrganizationName
Indicates the name by which an organization was originally known before any renaming or rebranding.
-
D.
primaryAffiliation
Indicates the main organization, institution, or group with which an entity is chiefly associated or formally connected.
-
E.
senderAffiliation
Indicates that the subject is institutionally or organizationally associated with the sender of a message or communication.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eaa0c76c81909fe43ed6938a13ea |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.