Triple
T21924791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de La Baume family |
E541413
|
entity |
| Predicate | ethnicCulturalOrigin |
P194
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [de La Baume family, ethnicCulturalOrigin, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCulturalOrigin Context triple: [de La Baume family, ethnicCulturalOrigin, French]
-
A.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
B.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
C.
countryOfHeritage
Indicates the country from which an entity’s cultural, ancestral, or familial heritage originates.
-
D.
EthnicaType
Indicates a relationship where an entity is classified according to a specific ethnic category or type.
-
E.
holderEthnicity
Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123fa40c48190b80a85e562ea2591 |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:45 p.m.