Triple
T24312280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Uninvited (2009 film) |
E612704
|
entity |
| Predicate | hasStepMotherCharacter |
P14091
|
FINISHED |
| Object | Rachael |
—
|
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: Rachael | Statement: [The Uninvited (2009 film), hasStepMotherCharacter, Rachael]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStepMotherCharacter Context triple: [The Uninvited (2009 film), hasStepMotherCharacter, Rachael]
-
A.
hasFictionalMother
Indicates that one entity is the fictional mother of another entity within a narrative or fictional context.
-
B.
isMaternalFigureOf
Indicates a nurturing, protective, and guiding parental-like relationship that one individual has toward another, typically in a motherly role.
-
C.
stepFatherOfMother
Indicates that one person is the stepfather (non-biological father through marriage) of another person's mother.
-
D.
stepMotherOf
chosen
Indicates that one person is the female spouse or partner of a parent of another person, but is not that person's biological or adoptive mother.
-
E.
stepfatherOf
Indicates that one person is the male spouse or partner of a child's parent, but is not the child's biological or adoptive father.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922b867c8190a6bf2adbfb68a584 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:43 a.m.