Triple
T26759831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adèle Varens |
E674768
|
entity |
| Predicate | characterAgeRangeInNovel |
P94896
|
FINISHED |
| Object | child |
—
|
LITERAL FINISHED |
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: child | Statement: [Adèle Varens, characterAgeRangeInNovel, child]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterAgeRangeInNovel Context triple: [Adèle Varens, characterAgeRangeInNovel, child]
-
A.
fictionalAgeRange
Indicates the span of ages a fictional character or entity is depicted as having within a narrative or fictional context.
-
B.
hasProtagonistAgeRange
Indicates that a work’s main character falls within a specified age range.
-
C.
characterAgeDescriptor
chosen
Indicates how a character’s age is qualitatively described or categorized (e.g., young, middle-aged, elderly) rather than given as a specific number.
-
D.
fictionalAge
Indicates the age attributed to an entity within a fictional or narrative context, rather than its real-world age.
-
E.
fictionalAgeStage
Indicates the stage or phase of life a fictional character is in within a narrative or imagined 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 27, 2026, 3:57 a.m.