Triple
T13334452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randall Pearson |
E317652
|
entity |
| Predicate | adoptiveStatus |
P54957
|
FINISHED |
| Object | adopted |
—
|
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: adopted | Statement: [Randall Pearson, adoptiveStatus, adopted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptiveStatus Context triple: [Randall Pearson, adoptiveStatus, adopted]
-
A.
adoptionStatus
chosen
Indicates the current state or outcome of an adoption relationship or process between entities.
-
B.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
-
C.
adoptiveParent
Indicates that one entity is the legally recognized parent of another through adoption rather than biological descent.
-
D.
adoptedThrough
Indicates that an adoption relationship was established or carried out by means of a specified process, channel, or intermediary.
-
E.
adoptedAs
Indicates that one entity has taken another into its family or care through a formal or recognized adoption process.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.