Triple
T35385800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allston Wheatley |
E1022788
|
entity |
| Predicate | adoptsChildWith |
P183783
|
FINISHED |
| Object | Alma Wheatley |
—
|
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: Alma Wheatley | Statement: [Allston Wheatley, adoptsChildWith, Alma Wheatley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptsChildWith Context triple: [Allston Wheatley, adoptsChildWith, Alma Wheatley]
-
A.
adoptedChildWith
Indicates a parent–child relationship where the child has been legally adopted by the parent.
-
B.
adoptedWith
Indicates that two or more entities were adopted at the same time or as part of the same adoption event or process.
-
C.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
-
D.
childAdoptedTo
Indicates that a child has been legally adopted into the care and family of another person or entity.
-
E.
adoptedUnder
Indicates that something has been formally accepted, implemented, or brought into effect according to a specified rule, procedure, or authority.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 3, 2026, 4:03 p.m.