Triple
T24837987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oskar Matzerath |
E621532
|
entity |
| Predicate | ageAtDecision |
P157396
|
FINISHED |
| Object | three 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: three years old | Statement: [Oskar Matzerath, ageAtDecision, three years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtDecision Context triple: [Oskar Matzerath, ageAtDecision, three years old]
-
A.
ageAtConversion
Indicates the age an entity was when a specified conversion event (such as a change of status, belief, or state) occurred.
-
B.
typicallyIssuedAtAge
Indicates the age at which something is most commonly or customarily issued to an individual.
-
C.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
D.
ageAtAward
Indicates the age of an entity at the time it received a specific award.
-
E.
cameOfAge
Indicates that an entity reached the age or stage of maturity at which it is considered an adult or fully responsible.
- F. None of above. chosen
Provenance (4 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f4303fad6c8190844f069164f0904d |
completed | May 1, 2026, 4:46 a.m. |
Created at: April 18, 2026, 5:18 a.m.