Triple
T13273719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Avlon |
E316132
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Avlon |
E316132
|
NE 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: John Avlon | Statement: [John Avlon, name, John Avlon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Avlon Context triple: [John Avlon, name, John Avlon]
-
A.
John Avlon
chosen
John Avlon is an American journalist, political commentator, and former editor-in-chief of The Daily Beast known for his centrist analysis and work on U.S. politics.
-
B.
Josh Lieberman
Josh Lieberman is a television producer best known for his executive production work on the comedy series "Dave."
-
C.
Michael Kushner
Michael Kushner is a notable individual whose prominence is associated with the surname Kushner, though specific widely recognized achievements or roles are not clearly established.
-
D.
Jon Klein
Jon Klein is a British guitarist best known for his work with the influential post-punk band Siouxsie and the Banshees.
-
E.
Josh Berman
Josh Berman is an American entrepreneur best known as a co-founder of the pioneering social networking site MySpace.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904193bc8190af4155750bcf32f6 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a51d458819080b8c8f3a4df0f52 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:26 p.m.