Triple
T32230410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Rauch |
E823324
|
entity |
| Predicate | characterAgeAtStart |
P94896
|
FINISHED |
| Object | early twenties |
—
|
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: early twenties | Statement: [Martin Rauch, characterAgeAtStart, early twenties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterAgeAtStart Context triple: [Martin Rauch, characterAgeAtStart, early twenties]
-
A.
approximateStartAge
Indicates the estimated or roughly determined age at which an event, condition, or state begins.
-
B.
ageAtStartOfRole
Indicates the age an entity was when they first began a specified role or position.
-
C.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
D.
characterAgeDescriptor
chosen
Indicates how a character’s age is qualitatively described or categorized (e.g., young, middle-aged, elderly) rather than given as a specific number.
-
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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fecd0a732c819097bdd3eb69b6158c |
completed | May 9, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69fecc0318d481908b5b20598a76a9fe |
completed | May 9, 2026, 5:54 a.m. |
Created at: May 1, 2026, 12:39 a.m.