Triple
T10916440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patrick "Kitten" Braden |
E257834
|
entity |
| Predicate | orphan |
P62331
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Patrick "Kitten" Braden, orphan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orphan Context triple: [Patrick "Kitten" Braden, orphan, true]
-
A.
isOrphan
chosen
Indicates that a person has no living parents or lacks parental care or guardianship.
-
B.
adoptiveChild
Indicates that one entity is the child of another through legal adoption rather than biological descent.
-
C.
fictionalOrphanStatus
Indicates that an entity is characterized as an orphan within a fictional or narrative context.
-
D.
onlySurvivingChildOf
Indicates that one person is the sole remaining living child of another person, with no other surviving siblings.
-
E.
disinherited
Indicates that one entity has been legally excluded from receiving an inheritance or succession rights that they might otherwise have been expected to obtain from another 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707deb608190903b1066e19600d3 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.