Triple
T31173245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Widow Wycherly |
E794669
|
entity |
| Predicate | ageStatusAtStoryTime |
P45004
|
FINISHED |
| Object | elderly |
—
|
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: elderly | Statement: [Widow Wycherly, ageStatusAtStoryTime, elderly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageStatusAtStoryTime Context triple: [Widow Wycherly, ageStatusAtStoryTime, elderly]
-
A.
ageDuringNarration
Indicates that an entity has a specified age at the time when the described narrative or event is taking place.
-
B.
ageStatus
chosen
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
C.
ageStatement
Indicates that a statement expresses or asserts the age of an entity in terms of time lived or existed.
-
D.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
E.
representedAgeLevel
Indicates that one entity corresponds to, or is categorized under, a particular age level or age group.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c234d648190a243fb2b107136a9 |
completed | May 3, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69f69665cd9c819088c388fc82fec42e |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 29, 2026, 9:07 p.m.