Triple
T22541256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Across the Universe |
E557293
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Rachel Cohen
Rachel Cohen is a film producer known for her work on the Beatles-inspired musical drama "Across the Universe."
|
E1555342
|
NE FINISHED |
How this triple was built (4 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: Rachel Cohen | Statement: [Across the Universe, producer, Rachel Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rachel Cohen Context triple: [Across the Universe, producer, Rachel Cohen]
-
A.
Rachel Cohen-Kagan
Rachel Cohen-Kagan was an Israeli politician, women's rights activist, and one of the signatories of Israel's Declaration of Independence.
-
B.
Carolyn Cohen
Carolyn Cohen is an American neuropsychologist and academic known for her work in cognitive and clinical neuropsychology and as the wife of lawyer Alan Dershowitz.
-
C.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
D.
Robyn Cohen
Robyn Cohen is an American actress best known for her role in Wes Anderson’s film "The Life Aquatic with Steve Zissou."
-
E.
Kate Cohen
Kate Cohen is a film producer known for her work on projects including the science-fiction thriller "Transcendence" (2014).
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Rachel Cohen Triple: [Across the Universe, producer, Rachel Cohen]
Generated description
Rachel Cohen is a film producer known for her work on the Beatles-inspired musical drama "Across the Universe."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rachel Cohen Target entity description: Rachel Cohen is a film producer known for her work on the Beatles-inspired musical drama "Across the Universe."
-
A.
Rachel Cohen-Kagan
Rachel Cohen-Kagan was an Israeli politician, women's rights activist, and one of the signatories of Israel's Declaration of Independence.
-
B.
Carolyn Cohen
Carolyn Cohen is an American neuropsychologist and academic known for her work in cognitive and clinical neuropsychology and as the wife of lawyer Alan Dershowitz.
-
C.
Rachel Leibowitz
Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
-
D.
Robyn Cohen
Robyn Cohen is an American actress best known for her role in Wes Anderson’s film "The Life Aquatic with Steve Zissou."
-
E.
Kate Cohen
Kate Cohen is a film producer known for her work on projects including the science-fiction thriller "Transcendence" (2014).
- F. None of above. chosen
Provenance (5 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e7caad881909ff0c985655f6a75 |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9f3eac388190878697e55c8d2405 |
completed | May 18, 2026, 11:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba149b79c8190abfd2b285f8e3e3c |
completed | May 18, 2026, 11:31 p.m. |
Created at: April 16, 2026, 8:51 p.m.