Triple
T31097058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'll Sleep When I'm Dead |
E792559
|
entity |
| Predicate | brotherPortrayedBy |
P87372
|
FINISHED |
| Object | Jonathan Rhys Meyers |
—
|
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: Jonathan Rhys Meyers | Statement: [I'll Sleep When I'm Dead, brotherPortrayedBy, Jonathan Rhys Meyers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brotherPortrayedBy Context triple: [I'll Sleep When I'm Dead, brotherPortrayedBy, Jonathan Rhys Meyers]
-
A.
isBrotherOfProtagonist
Indicates that one person is the male sibling of the story’s main character.
-
B.
possibleBrother
Indicates a relationship where one entity may be the brother of another, but this has not been confirmed as certain.
-
C.
portrayedFamilyMemberOf
chosen
Indicates that one entity has depicted another entity as a member of their family, typically in a creative or representational context such as art, film, or literature.
-
D.
sonCharacterPortrayedBy
Indicates that a person is the actor who portrays a specific son character in a work of fiction.
-
E.
colleaguePortrayedBy
Indicates that one colleague is depicted or represented by another person, typically in a work or professional context.
- 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_69f224cf157c81909e2d2bd88c9282c3 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:03 p.m.