Triple
T11233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew |
E228
|
entity |
| Predicate | etymologicalRoot |
P453
|
FINISHED |
| Object | Ancient Greek ἀνήρ (anēr) |
—
|
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: Ancient Greek ἀνήρ (anēr) | Statement: [Andrew, etymologicalRoot, Ancient Greek ἀνήρ (anēr)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: etymologicalRoot Context triple: [Andrew, etymologicalRoot, Ancient Greek ἀνήρ (anēr)]
-
A.
etymologicalLanguage
Indicates the language from which a word or term is historically derived in its etymology.
-
B.
etymology
chosen
Indicates the historical origin and development of a word or term, including its source language and form.
-
C.
ethnicOrigin
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
D.
coinedTerm
Indicates that an entity originated and introduced a particular term or expression into use.
-
E.
nativeLanguage
Indicates the language that a person or entity originally learned and uses as their primary or first language.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a241ea1ea081908e8a81ca97531ba5 |
completed | Feb. 28, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69a23fe7da8c8190aea795b62cb91621 |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.