Triple
T28655743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minnie Castevet |
E725325
|
entity |
| Predicate | characterInBook |
P12208
|
FINISHED |
| Object | Rosemary's Baby (1967 novel) |
—
|
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: Rosemary's Baby (1967 novel) | Statement: [Minnie Castevet, characterInBook, Rosemary's Baby (1967 novel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterInBook Context triple: [Minnie Castevet, characterInBook, Rosemary's Baby (1967 novel)]
-
A.
characterInBookBy
Indicates that a character appears in a book that was written by a specified author.
-
B.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
C.
literaryCharacterDepicted
Indicates that a literary character is visually or textually represented in a work such as an image, illustration, or other medium.
-
D.
characterStatusInStory
Indicates the role or condition a character holds within the context of a specific story or narrative.
-
E.
fictionalCharacterPortrayedFromWorkBy
Indicates that a fictional character is depicted or portrayed in a work that was created by a specific author or creator.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 28, 2026, 4:55 a.m.