Triple
T36143841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himmel Street bombing |
E1045388
|
entity |
| Predicate | centralCharacterAffected |
P138180
|
FINISHED |
| Object | Liesel Meminger |
—
|
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: Liesel Meminger | Statement: [Himmel Street bombing, centralCharacterAffected, Liesel Meminger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralCharacterAffected Context triple: [Himmel Street bombing, centralCharacterAffected, Liesel Meminger]
-
A.
affectsCharacterArc
Indicates that one event, action, or element causes a meaningful change or development in a character’s personal journey or growth over the course of the story.
-
B.
victimCharacter
chosen
Indicates that one entity is the victim or target of harm, wrongdoing, or an adverse action carried out by another entity.
-
C.
controllingCharacter
Indicates that one character exerts control, influence, or authority over another character.
-
D.
mainCharactersAre
Indicates that the specified entities serve as the primary or central characters in a narrative or work.
-
E.
character1
Indicates that the subject is identified as the first or primary character in a narrative 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdec5ffe088190ac5505f26c6cff18 |
completed | May 8, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69fdeae15f1c81908fc63fbc1b028d2e |
completed | May 8, 2026, 1:53 p.m. |
Created at: May 3, 2026, 4:08 p.m.