Triple
T23001025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ed Show |
E572632
|
entity |
| Predicate | host |
P2592
|
FINISHED |
| Object | Ed Schultz |
—
|
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: Ed Schultz | Statement: [The Ed Show, host, Ed Schultz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Schultz Context triple: [The Ed Show, host, Ed Schultz]
-
A.
Ed Schultz
chosen
Ed Schultz was an American television and radio talk show host known for his progressive political commentary and work on networks like MSNBC and RT America.
-
B.
Michael Allen Jones
Michael Allen Jones is an American rapper better known by his stage name Mike Jones, who gained mainstream popularity in the mid-2000s with hits like "Still Tippin'" and "Back Then."
-
C.
Jon Klein
Jon Klein is a British guitarist best known for his work with the influential post-punk band Siouxsie and the Banshees.
-
D.
Thom Hartmann
Thom Hartmann is a progressive political commentator, author, and radio host known for his influential talk show and advocacy on liberal and democratic issues.
-
E.
Max Borenstein
Max Borenstein is an American screenwriter and producer best known for his work on the modern Godzilla and MonsterVerse films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18352bcf48190bd474eff69b3465b |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:50 p.m.