Triple
T29098907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiron |
E735087
|
entity |
| Predicate | hasSurrogateMotherFigure |
P139734
|
FINISHED |
| Object | Teresa |
—
|
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: Teresa | Statement: [Chiron, hasSurrogateMotherFigure, Teresa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurrogateMotherFigure Context triple: [Chiron, hasSurrogateMotherFigure, Teresa]
-
A.
surrogateMotherFigurePortrayedBy
Indicates that one entity is depicted or characterized as a surrogate mother figure to another entity through the performance or portrayal by a specific actor or creator.
-
B.
hasFictionalMother
Indicates that one entity is the fictional mother of another entity within a narrative or fictional context.
-
C.
isMaternalFigureOf
chosen
Indicates a nurturing, protective, and guiding parental-like relationship that one individual has toward another, typically in a motherly role.
-
D.
isMotherOf
Indicates that one entity is the female parent who has given birth to or legally/ socially parents the other entity.
-
E.
hasSurrogatePregnancyFor
Indicates that one entity is carrying a pregnancy on behalf of another entity, typically with the intention of giving the resulting child to that other 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd783fed9c81909e792702636c4f1f |
completed | May 8, 2026, 5:44 a.m. |
| PD | Predicate disambiguation | batch_69fd7788e63c81909de22fdafcfe41c0 |
completed | May 8, 2026, 5:41 a.m. |
Created at: April 28, 2026, 11:10 a.m.