Triple
T27362404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Closet Monster |
E685861
|
entity |
| Predicate | narrationVoice |
P17575
|
FINISHED |
| Object | Isabella Rossellini |
—
|
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: Isabella Rossellini | Statement: [Closet Monster, narrationVoice, Isabella Rossellini]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrationVoice Context triple: [Closet Monster, narrationVoice, Isabella Rossellini]
-
A.
narratedTo
Indicates that one entity tells or recounts a story, event, or information directly to another entity as the audience.
-
B.
narratorOf
chosen
Indicates that one entity serves as the narrator or storytelling voice for another entity, such as a text, story, or media work.
-
C.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
-
D.
settingOfNarration
Indicates the place, time, or context in which a narrated event or story takes place.
-
E.
hasNarration
Indicates that an entity provides spoken or written commentary or storytelling for another entity, such as a work, event, or scene.
- 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 11:54 a.m.