Triple
T2995562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Extract |
E81056
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Michael Rotenberg |
E187157
|
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 Rotenberg | Statement: [Extract, producer, Michael Rotenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Rotenberg Context triple: [Extract, producer, Michael Rotenberg]
-
A.
Michael Rotenberg
chosen
Michael Rotenberg is a television producer and manager best known for his work on popular comedy series including It's Always Sunny in Philadelphia.
-
B.
Michael Rachmil
Michael Rachmil is a film producer best known for his work on the 1987 romantic comedy "Roxanne" starring Steve Martin.
-
C.
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.
-
D.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
E.
David Saperstein
David Saperstein is an American author best known for writing the science fiction novel "Cocoon," which was adapted into the popular 1985 film of the same name.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f2e5888190b3346012e2578dab |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fadc46e8819095ebcb23e1da9947 |
completed | March 14, 2026, 6:06 a.m. |
Created at: March 8, 2026, 2:59 p.m.