Triple
T7307408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebel Poet |
E168007
|
entity |
| Predicate | equivalentEpithetLanguage |
P76128
|
FINISHED |
| Object | Bengali |
—
|
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: Bengali | Statement: [Rebel Poet, equivalentEpithetLanguage, Bengali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: equivalentEpithetLanguage Context triple: [Rebel Poet, equivalentEpithetLanguage, Bengali]
-
A.
languageOfEpithet
Indicates the language in which an epithet (such as a descriptive or honorary title) is expressed.
-
B.
equivalentEpithetInNahuatl
Indicates that one entity’s epithet has an equivalent or corresponding epithet expressed in the Nahuatl language.
-
C.
languageEquivalent
Indicates that two linguistic expressions convey the same meaning or function across different languages or language varieties.
-
D.
eponymLanguage
Indicates that a language is named after (is the eponym of) a particular person, place, or entity.
-
E.
equivalentIn
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
- 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_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. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:01 p.m.