Triple
T29098908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiron |
E735087
|
entity |
| Predicate | surrogateMotherFigurePortrayedBy |
P166547
|
FINISHED |
| Object | Janelle Monáe |
—
|
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: Janelle Monáe | Statement: [Chiron, surrogateMotherFigurePortrayedBy, Janelle Monáe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surrogateMotherFigurePortrayedBy Context triple: [Chiron, surrogateMotherFigurePortrayedBy, Janelle Monáe]
-
A.
isMaternalFigureOf
Indicates a nurturing, protective, and guiding parental-like relationship that one individual has toward another, typically in a motherly role.
-
B.
motherPortrayedBy
Indicates that a person’s mother is depicted or played by a particular actor or performer.
-
C.
surrogateFatherOf
Indicates that one entity serves as a surrogate father to another, fulfilling a paternal role without being the biological father.
-
D.
hasFictionalMother
Indicates that one entity is the fictional mother of another entity within a narrative or fictional context.
-
E.
playedMotherOfCharacter
Indicates that one person portrayed the mother of a specific character in a performance or production.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 11:10 a.m.