Triple
T27533884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennet Device |
E695044
|
entity |
| Predicate | ageAtTimeOfPendleTrials |
P85384
|
FINISHED |
| Object | about nine years old |
—
|
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: about nine years old | Statement: [Jennet Device, ageAtTimeOfPendleTrials, about nine years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtTimeOfPendleTrials Context triple: [Jennet Device, ageAtTimeOfPendleTrials, about nine years old]
-
A.
ageAtTimeOfConvictionInStory
Indicates the age a person was at the specific time they were convicted within the context or timeline of the story.
-
B.
ageAtTimeOfAccusation
chosen
Indicates the age a person was at the specific time when an accusation was made against them.
-
C.
ageAtArrest
Indicates the age a person was at the time they were arrested.
-
D.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
E.
ageAtIntroduction
Indicates the age an entity had at the time it was first introduced or presented in a given context.
- 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_69ef538608b081908b9f659bb09d5e0f |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:27 p.m.