Triple
T14131222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robyn Cohen |
E350169
|
entity |
| Predicate | nameInNativeLanguage |
P1435
|
FINISHED |
| Object | Robyn Cohen |
E350169
|
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: Robyn Cohen | Statement: [Robyn Cohen, nameInNativeLanguage, Robyn Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robyn Cohen Context triple: [Robyn Cohen, nameInNativeLanguage, Robyn Cohen]
-
A.
Robyn Cohen
chosen
Robyn Cohen is an American actress best known for her role in Wes Anderson’s film "The Life Aquatic with Steve Zissou."
-
B.
Melissa Cohen
Melissa Cohen is a South African-born filmmaker and activist best known as the wife of Hunter Biden, son of U.S. President Joe Biden.
-
C.
June Cohen
June Cohen is a media entrepreneur and former TED executive best known for co-founding the business podcast and learning platform "Masters of Scale."
-
D.
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.
-
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.
- 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_69d827865f608190b311820428ae027b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4672bac8819085794c2554bd6e75 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 9, 2026, 11:03 p.m.