Triple
T29445840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peabody Award for The Bernie Mac Show |
E746842
|
entity |
| Predicate | languageOfWorkHonored |
P86134
|
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: [Peabody Award for The Bernie Mac Show, languageOfWorkHonored, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfWorkHonored Context triple: [Peabody Award for The Bernie Mac Show, languageOfWorkHonored, English]
-
A.
languageOfHonoredFigure
Indicates the language associated with or used by the person who is being honored.
-
B.
languageOfWorkRecognized
chosen
Indicates that a work is officially recognized as being created or expressed in a particular language.
-
C.
eligibleLanguage
Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
-
D.
languageOfWorkOrName
Indicates the language in which a work is created or a name is expressed.
-
E.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
- 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_69f0a7a230488190b44a97fe3d16f731 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
Created at: April 28, 2026, 3:27 p.m.