Triple
T27349777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarva Andor |
E684322
|
entity |
| Predicate | aliasOfAdoptedChild |
P162212
|
FINISHED |
| Object | Cassian Andor |
—
|
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: Cassian Andor | Statement: [Maarva Andor, aliasOfAdoptedChild, Cassian Andor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aliasOfAdoptedChild Context triple: [Maarva Andor, aliasOfAdoptedChild, Cassian Andor]
-
A.
adoptedSibling
Indicates that two individuals are siblings through adoption rather than by biological relation.
-
B.
adoptedAs
Indicates that one entity has taken another into its family or care through a formal or recognized adoption process.
-
C.
adoptedUnder
Indicates that something has been formally accepted, implemented, or brought into effect according to a specified rule, procedure, or authority.
-
D.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
-
E.
aliasOfResident
Indicates that one entity is an alternative name or alias used for a resident entity.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62ba6aeb08190a6c504a508911d1f |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 11:47 a.m.