Triple
T27326471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Weber |
E689662
|
entity |
| Predicate | etymologyOfGivenName |
P64332
|
FINISHED |
| Object | short form of Johannes |
—
|
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: short form of Johannes | Statement: [Hans Weber, etymologyOfGivenName, short form of Johannes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologyOfGivenName Context triple: [Hans Weber, etymologyOfGivenName, short form of Johannes]
-
A.
nameEtymologyFor
chosen
Indicates that one entity expresses or explains the origin or derivation of the name of another entity.
-
B.
hasNameEtymologyIn
Indicates that the origin or derivation of an entity’s name is based in, or traceable to, a specified source such as a language, place, or cultural context.
-
C.
possibleNameEtymology
Indicates a hypothesized or suggested origin or derivation of an entity’s name from another term, source, or linguistic root.
-
D.
etymologyReason
Indicates the reason, source, or origin explaining how or why a term acquired its particular etymology.
-
E.
etymologyContext
Indicates the contextual or situational background (such as time, place, culture, or domain) relevant to the origin and historical development of a word or term.
- 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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f627edd6d08190a059d44edecfb368 |
completed | May 2, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:36 a.m.