Triple
T7307406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebel Poet |
E168007
|
entity |
| Predicate | epithetLanguage |
P58172
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Rebel Poet, epithetLanguage, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epithetLanguage Context triple: [Rebel Poet, epithetLanguage, English]
-
A.
languageOfEpithet
chosen
Indicates the language in which an epithet (such as a descriptive or honorary title) is expressed.
-
B.
eponymLanguage
Indicates that a language is named after (is the eponym of) a particular person, place, or entity.
-
C.
epithetOrTitle
Indicates that one entity serves as an epithet, honorific, or formal title used to designate or characterize another entity.
-
D.
epithetOfPantheon
Indicates that one term is used as an epithet or honorific title specifically for a deity or figure within a particular pantheon.
-
E.
emblemLanguage
Indicates that an emblem (such as a symbol or logo) is associated with or presented in a particular 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_69c6888d8e3c81909db79714903baf31 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebd95bd48190865716e7565f45e6 |
completed | March 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.