Triple
T14235249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jett |
E352859
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Michael Aronov |
E573320
|
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: Michael Aronov | Statement: [Jett, hasCastMember, Michael Aronov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Aronov Context triple: [Jett, hasCastMember, Michael Aronov]
-
A.
Michael Aronov
chosen
Michael Aronov is an American actor known for his work in film, television, and theater, including a role in the historical drama "Operation Finale."
-
B.
Michael Kagan
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
C.
Leo Salkin
Leo Salkin was an American animator, writer, and storyboard artist known for his work on mid-20th-century animated films and shorts.
-
D.
Avner Kaufman
Avner Kaufman is the central Mossad agent protagonist in Steven Spielberg’s film "Munich," depicted as a conflicted assassin grappling with the moral consequences of his mission.
-
E.
Eric Tannenbaum
Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de62411c888190a154acd56fe3fcaf |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d445c4848190b5c97bb27be6c749 |
completed | May 10, 2026, 6:53 p.m. |
Created at: April 10, 2026, 1:07 a.m.