Triple
T8607043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The World’s Greatest Entertainer |
E203824
|
entity |
| Predicate | describesOccupationOf |
P2374
|
FINISHED |
| Object | singer |
—
|
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: singer | Statement: [The World’s Greatest Entertainer, describesOccupationOf, singer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesOccupationOf Context triple: [The World’s Greatest Entertainer, describesOccupationOf, singer]
-
A.
describesCareerOf
Indicates that one entity provides a description or characterization of the professional career of another entity.
-
B.
workDescribedAs
Indicates that one entity’s work, project, or output is characterized, labeled, or referred to by a particular description, title, or phrase.
-
C.
workDescribedIn
Indicates that a work (such as a publication or document) provides a description or account of the referenced entity.
-
D.
subjectOccupation
chosen
Indicates that the subject holds or performs a particular job, profession, or role as their occupation.
-
E.
requiredOccupationOf
Indicates that one entity specifies the occupation or job role that is required or expected for another entity (such as a position, task, or qualification).
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46eabe2c8190a2d13c353055a785 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.