Triple
T32117951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Not Here |
E820286
|
entity |
| Predicate | hasChildVersionOfCharacterPlayedBy |
P97663
|
FINISHED |
| Object | Iain Armitage |
—
|
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: Iain Armitage | Statement: [I'm Not Here, hasChildVersionOfCharacterPlayedBy, Iain Armitage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildVersionOfCharacterPlayedBy Context triple: [I'm Not Here, hasChildVersionOfCharacterPlayedBy, Iain Armitage]
-
A.
youngerVersionPortrayedBy
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
B.
filmCharacterVersionOf
Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
-
C.
leadActorPlaysVersionOfSelf
Indicates that the lead actor in a work portrays a character that is a version or representation of themselves.
-
D.
playedByChildActor
chosen
Indicates that a role or character is portrayed by an actor who is a child at the time of performance.
-
E.
leadCharacterHasChild
Indicates that the lead character is the parent of the specified child.
- 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
Created at: May 1, 2026, 12:28 a.m.