Triple
T36143825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trudy Hubermann |
E1045387
|
entity |
| Predicate | isAdultDuringEventsOf |
P64043
|
FINISHED |
| Object | The Book Thief |
—
|
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: The Book Thief | Statement: [Trudy Hubermann, isAdultDuringEventsOf, The Book Thief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAdultDuringEventsOf Context triple: [Trudy Hubermann, isAdultDuringEventsOf, The Book Thief]
-
A.
hasAdultArea
Indicates that something includes or is associated with an area designated specifically for adults.
-
B.
isAdultCharacter
chosen
Indicates that a character has reached adulthood, typically meeting the age or maturity criteria defining an adult within the given context.
-
C.
hasAdultPrograms
Indicates that an entity offers or is associated with programs or services specifically designed for adults.
-
D.
isAgeRestricted
Indicates that access to or use of something is limited based on the age of the person involved.
-
E.
hasAdultRank
Indicates that an entity holds a status or position classified as an adult-level rank within a given system or hierarchy.
- 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_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.