Triple
T23294894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mimi Marquez |
E590136
|
entity |
| Predicate | hasNeighbor |
P5707
|
FINISHED |
| Object | Mark Cohen |
—
|
NE NERFINISHED |
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: Mark Cohen | Statement: [Mimi Marquez, hasNeighbor, Mark Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Cohen Context triple: [Mimi Marquez, hasNeighbor, Mark Cohen]
-
A.
Mark Cohen
chosen
Mark Cohen is a struggling filmmaker and one of the central protagonists in the rock musical "Rent," known for documenting the lives and struggles of his bohemian friends in New York City's East Village.
-
B.
Mitchell Cohen
Mitchell Cohen is an American political theorist and writer known for his long-time co-editorship of the intellectual journal Dissent and his work on social democracy and European politics.
-
C.
Jake Cohen
Jake Cohen is known primarily as the son of Michael Cohen, the former personal attorney to Donald Trump.
-
D.
Matt Cohen
Matt Cohen is an American actor best known for his roles on television series such as "Supernatural" and "General Hospital," as well as appearances in various films.
-
E.
Mark S. Cohen
Mark S. Cohen is a neuroscientist and neuroimaging expert known for his pioneering work in functional MRI and brain mapping techniques.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cdce7081908ca1cf9107b87f61 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.