Triple
T14695093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emile de Becque |
E345134
|
entity |
| Predicate | childrensMotherOrigin |
P50958
|
FINISHED |
| Object | Polynesian |
—
|
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: Polynesian | Statement: [Emile de Becque, childrensMotherOrigin, Polynesian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: childrensMotherOrigin Context triple: [Emile de Becque, childrensMotherOrigin, Polynesian]
-
A.
hasMotherOrigin
chosen
Indicates that an entity’s origin, source, or lineage is derived from or attributed to a mother entity.
-
B.
motherIs
Indicates that one entity is the mother (biological or adoptive) of another entity.
-
C.
motherWas
Indicates that one entity was the mother (biological or adoptive) of another entity at some time in the past.
-
D.
motherFrom
Indicates that one entity is the mother (biological or adoptive) of another entity, specifying a maternal parent-child relationship from the mother to the child.
-
E.
motherFounded
Indicates that a person, in her role as a mother, established or created an organization, institution, or entity.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb586e7108190be644db9cf9a4d99 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.