Triple
T6463725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Die Alone |
E142181
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Avi Lerner |
E303929
|
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: Avi Lerner | Statement: [Never Die Alone, producer, Avi Lerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avi Lerner Context triple: [Never Die Alone, producer, Avi Lerner]
-
A.
Avi Lerner
chosen
Avi Lerner is an Israeli-American film producer and founder of Millennium Films, known for financing and producing numerous action movies and franchises.
-
B.
Avi Rothman
Avi Rothman is an American actor, writer, and comedian known for his work in film and television and for being married to actress and comedian Kristen Wiig.
-
C.
Yariv Lerner
Yariv Lerner is a film producer best known for his work on action movies, including serving as a producer on "Rambo: Last Blood."
-
D.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
-
E.
Ari Leschnikoff
Ari Leschnikoff was a Bulgarian-born tenor and entertainer best known as a member of the renowned German vocal group the Comedian Harmonists in the early 20th century.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f9b58081909412b9da753b9285 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb02cb3c8190917842bb654326ee |
completed | March 27, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:49 p.m.