Triple
T11991491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mika Rottenberg |
E285416
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mika Rottenberg |
E285416
|
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: Mika Rottenberg | Statement: [Mika Rottenberg, name, Mika Rottenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mika Rottenberg Context triple: [Mika Rottenberg, name, Mika Rottenberg]
-
A.
Mika Rottenberg
chosen
Mika Rottenberg is an Argentine-Israeli contemporary artist and filmmaker known for her surreal, labor-focused video installations that critique global capitalism and the body’s role within it.
-
B.
Marc Zamarin
Marc Zamarin is a sports executive best known for serving as the general manager of the Philadelphia Wings professional lacrosse team.
-
C.
Alex Reznik
Alex Reznik is a television producer best known for serving as an executive producer on the crime drama series "Seven Seconds."
-
D.
Marc Roskin
Marc Roskin is a television producer and director best known for his work on genre and adventure series such as "The Librarians."
-
E.
Jason Rothenberg
Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903afe4388190a2cf2328e85adf9b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47257911481909d6bd72535eefdbd |
completed | May 1, 2026, 9:28 a.m. |
Created at: April 8, 2026, 9:46 p.m.