Triple
T7036314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Levin |
E163393
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jonathan Levin |
E163393
|
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: Jonathan Levin | Statement: [Jonathan Levin, name, Jonathan Levin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Levin Context triple: [Jonathan Levin, name, Jonathan Levin]
-
A.
Jonathan Levin
chosen
Jonathan Levin is an American economist and academic leader known for his work in industrial organization and for serving as dean of Stanford Graduate School of Business.
-
B.
Sam Levine
Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
-
C.
Larry Levin
Larry Levin is an American screenwriter known for his work on popular comedy films, including the 1998 adaptation of "Dr. Dolittle."
-
D.
Philip Levene
Philip Levene was a British television and film writer best known for his work on the 1960s spy series "The Avengers."
-
E.
Ira Levinson
Ira Levinson is a fictional elderly widower whose poignant love story and letters play a central role in Nicholas Sparks’ novel "The Longest Ride."
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e220508c8190b8950cf38280b8c2 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c775a211f88190afe5ed466abcac7a |
completed | March 28, 2026, 6:30 a.m. |
Created at: March 27, 2026, 2:36 p.m.