Triple
T26916379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambroise Paré |
E677526
|
entity |
| Predicate | inferredFromSurname |
P150358
|
FINISHED |
| Object | Paré |
—
|
NE NERFINISHED |
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: Paré | Statement: [Ambroise Paré, inferredFromSurname, Paré]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferredFromSurname Context triple: [Ambroise Paré, inferredFromSurname, Paré]
-
A.
isSurname
Indicates that one entity is the family name (last name) of another entity.
-
B.
familyNameDerivedFrom
Indicates that one entity’s family name originates from, or is etymologically derived from, another entity.
-
C.
associatedSurname
Indicates that one entity has a surname that is linked or connected to another entity, such as a person, family, or name record.
-
D.
correspondsToSurname
chosen
Indicates that one entity is the surname or family name associated with, matching, or representing the other entity.
-
E.
laterTakesSurnameFrom
Indicates that one entity adopts or assumes the surname of another entity at a later point in time.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fde093c81908c03c224547b251f |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:04 a.m.