Triple
T34015242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Che |
E872222
|
entity |
| Predicate | formerCorrespondentOf |
P201413
|
FINISHED |
| Object | The Daily Show |
—
|
NE NERFINISHED |
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: The Daily Show | Statement: [Michael Che, formerCorrespondentOf, The Daily Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCorrespondentOf Context triple: [Michael Che, formerCorrespondentOf, The Daily Show]
-
A.
formerAnchor
Indicates that an entity previously held the role of anchor but no longer does so.
-
B.
formerEditorInChief
Indicates that a person previously held, but no longer holds, the position of editor-in-chief of a publication or organization.
-
C.
formerDirector
Indicates that one entity previously held the position of director of the other entity but no longer does.
-
D.
writtenByFormer
Indicates that something was written by an individual who previously held a particular role, position, or status.
-
E.
formerMedium
Indicates that an entity previously used a particular medium or channel but no longer does so.
- 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_69f349a19ad88190ab586f010c804a8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
| PDg | Predicate description generation | batch_69fff327d7788190a41ea5cbae060177 |
completed | May 10, 2026, 2:53 a.m. |
Created at: May 1, 2026, 1:51 a.m.