Triple
T32117950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm Not Here |
E820286
|
entity |
| Predicate | hasYoungerVersionOfCharacterPlayedBy |
P39940
|
FINISHED |
| Object | Sebastian Stan |
—
|
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: Sebastian Stan | Statement: [I'm Not Here, hasYoungerVersionOfCharacterPlayedBy, Sebastian Stan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasYoungerVersionOfCharacterPlayedBy Context triple: [I'm Not Here, hasYoungerVersionOfCharacterPlayedBy, Sebastian Stan]
-
A.
youngerVersionPortrayedBy
chosen
Indicates that one person portrays a younger version of another person, typically in a film, television show, or similar narrative work.
-
B.
portraysYoungerVersionOfCharacterFrom
Indicates that one character is depicted as a younger version of another character from a specified source.
-
C.
leadActorPlaysVersionOfSelf
Indicates that the lead actor in a work portrays a character that is a version or representation of themselves.
-
D.
filmCharacterVersionOf
Indicates that one character is a specific film adaptation or portrayal of another character originating from a different version or medium.
-
E.
leadCharacterPreviouslyAppearedIn
Indicates that the lead character of the current work has appeared before in a prior work or 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b909e534819085361d443b5c622d |
completed | May 3, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a970b0819090c6473844ffa8e3 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:28 a.m.