Triple
T28333269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chéri |
E717590
|
entity |
| Predicate | protagonistAgeDifferenceTheme |
P164683
|
FINISHED |
| Object | youngerManOlderWoman |
—
|
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: youngerManOlderWoman | Statement: [Chéri, protagonistAgeDifferenceTheme, youngerManOlderWoman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: protagonistAgeDifferenceTheme Context triple: [Chéri, protagonistAgeDifferenceTheme, youngerManOlderWoman]
-
A.
protagonistAge
Indicates the age of the main character or central figure in a narrative or scenario.
-
B.
protagonistAgeRelativeToPrequel
Indicates how the protagonist’s age in the current work compares to their age in a preceding prequel story.
-
C.
depictsAgeContrast
Indicates a relationship where one entity visually represents or highlights a contrast in age between two or more entities.
-
D.
hasProtagonistAgeRange
Indicates that a work’s main character falls within a specified age range.
-
E.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
- F. None of above. chosen
Provenance (4 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64ee0c2788190a94a04ad1902fd5e |
completed | May 2, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69f64caede108190a35cc7cbfead866f |
completed | May 2, 2026, 7:12 p.m. |
| PDg | Predicate description generation | batch_69f64e36c57c8190af09470a8d35512b |
completed | May 2, 2026, 7:19 p.m. |
Created at: April 28, 2026, 12:33 a.m.