Triple
T19802141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masters of Scale |
E475707
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | June Cohen |
E475707
|
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: June Cohen | Statement: [Masters of Scale, creator, June Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: June Cohen Context triple: [Masters of Scale, creator, June Cohen]
-
A.
June Cohen
chosen
June Cohen is a media entrepreneur and former TED executive best known for co-founding the business podcast and learning platform "Masters of Scale."
-
B.
Sandra Cohen
Sandra Cohen is a character in the romantic drama film "Two Lovers," which explores themes of love, choice, and emotional turmoil.
-
C.
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.
-
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.
Kirsten Cohen
Kirsten Cohen is a central character on the television series "The O.C.," known as the wealthy, caring yet conflicted Newport Beach matriarch of the Cohen family.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654257cb4819096fb2aa5d1f7fbb0 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d42df7488190aff9cecfa1318810 |
completed | May 16, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:49 p.m.