Triple
T8492908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Susan Calvin |
E201015
|
entity |
| Predicate | ageInStories |
P59141
|
FINISHED |
| Object | middle-aged in most of her appearances |
—
|
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: middle-aged in most of her appearances | Statement: [Dr. Susan Calvin, ageInStories, middle-aged in most of her appearances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInStories Context triple: [Dr. Susan Calvin, ageInStories, middle-aged in most of her appearances]
-
A.
ageDuringNarration
Indicates that an entity has a specified age at the time when the described narrative or event is taking place.
-
B.
ageInMyth
Indicates the age or stage of existence an entity has within a mythological or legendary context.
-
C.
ageInSeries
chosen
Indicates the age of an entity as it appears or is depicted within a specific series or installment of a work.
-
D.
ageDetail
Indicates a detailed specification of an entity’s age, such as exact value, range, or related age attributes.
-
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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe55cf5dc81908cad31ac53e15b46 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.