Triple
T12910718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Pickman Mann |
E308854
|
entity |
| Predicate | ethnic/cultural background |
P56388
|
FINISHED |
| Object | New Englander |
—
|
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: New Englander | Statement: [Benjamin Pickman Mann, ethnic/cultural background, New Englander]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnic/cultural background Context triple: [Benjamin Pickman Mann, ethnic/cultural background, New Englander]
-
A.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
cultureOfOrigin
chosen
Indicates the cultural background or tradition from which an entity originates or is derived.
-
C.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
-
D.
ethnicAspect
Indicates a relationship where one entity reflects, involves, or characterizes the ethnic background, identity, or attributes of another entity.
-
E.
sharesEthnicity
Indicates that two entities belong to the same ethnic group or share the same ethnic background.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719e584c81909be1ac1366effca0 |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.