Triple
T32626978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Collins |
E834084
|
entity |
| Predicate | hasMotherPortrayedBy |
P61229
|
FINISHED |
| Object | Angelina Jolie |
—
|
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: Angelina Jolie | Statement: [Walter Collins, hasMotherPortrayedBy, Angelina Jolie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotherPortrayedBy Context triple: [Walter Collins, hasMotherPortrayedBy, Angelina Jolie]
-
A.
isMaternalFigureOf
Indicates a nurturing, protective, and guiding parental-like relationship that one individual has toward another, typically in a motherly role.
-
B.
motherPortrayedBy
chosen
Indicates that a person’s mother is depicted or played by a particular actor or performer.
-
C.
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.
-
D.
motherOfNotablePersonAssociated
Indicates that one entity is the mother of another entity who is a notable or well-known person associated with a given context.
-
E.
playedMotherOfCharacter
Indicates that one person portrayed the mother of a specific character in a performance or production.
- 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_69f3492ccc80819086ef7d26e9786647 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe610e1f6881908f10070ba64643cf |
completed | May 8, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69fe604c6c008190ad659e9b9fa82f7b |
completed | May 8, 2026, 10:14 p.m. |
Created at: May 1, 2026, 1:06 a.m.