Triple
T32096388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady of the Golden Wood |
E819731
|
entity |
| Predicate | holderChildren |
P175821
|
FINISHED |
| Object | Celebrían |
—
|
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: Celebrían | Statement: [Lady of the Golden Wood, holderChildren, Celebrían]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderChildren Context triple: [Lady of the Golden Wood, holderChildren, Celebrían]
-
A.
childrenWith
Indicates that two or more entities share one or more children together as parents or guardians.
-
B.
includedChildren
Indicates that certain child entities are contained within, or form part of, a specified parent entity.
-
C.
childInFamily
Indicates that one entity is a child member within the family unit defined by the other entity.
-
D.
childrenStatus
Indicates the relationship describing whether and how an entity has children, including their presence, number, or relevant child-related status.
-
E.
adoptedChildren
Indicates that one entity has legally taken another entity as their child through adoption.
- F. None of above. chosen
Provenance (4 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 12:26 a.m.