Triple
T24046623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felicity Porter |
E595537
|
entity |
| Predicate | fictionalAgeAtSeriesStart |
P25233
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [Felicity Porter, fictionalAgeAtSeriesStart, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalAgeAtSeriesStart Context triple: [Felicity Porter, fictionalAgeAtSeriesStart, 18]
-
A.
fictionalAgeRange
Indicates the span of ages a fictional character or entity is depicted as having within a narrative or fictional context.
-
B.
fictionalAge
chosen
Indicates the age attributed to an entity within a fictional or narrative context, rather than its real-world age.
-
C.
fictionalAgeStage
Indicates the stage or phase of life a fictional character is in within a narrative or imagined context.
-
D.
ageInSeries
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
E.
fictionalBirthYear
Indicates the year in which a fictional character is stated or assumed to have been born within its narrative or canon.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9ca5a18819086da68b69eed8cc1 |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:16 p.m.