Triple
T17340858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Doinel series |
E421061
|
entity |
| Predicate | characterAgeProgression |
P16323
|
FINISHED |
| Object | teenager to adult |
—
|
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: teenager to adult | Statement: [Antoine Doinel series, characterAgeProgression, teenager to adult]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterAgeProgression Context triple: [Antoine Doinel series, characterAgeProgression, teenager to adult]
-
A.
characterAgeDescriptor
Indicates how a character’s age is qualitatively described or categorized (e.g., young, middle-aged, elderly) rather than given as a specific number.
-
B.
ageProgression
chosen
Indicates a temporal relationship where an entity’s age increases or advances over time.
-
C.
ageProgressionDirection
Indicates the direction in which an entity’s age changes over time within a given process or representation (e.g., from younger to older or older to younger).
-
D.
fictionalAgeStage
Indicates the stage or phase of life a fictional character is in within a narrative or imagined context.
-
E.
riftAge
Indicates the age or time since formation of a geological rift or rift-related feature.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a15f6488190ad7d489e7391ab12 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b021a5bc81909ae55406f9d0b37f |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.