Triple
T22605965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana International |
E566557
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Yaron Cohen
Yaron Cohen is the birth name of Dana International, the Israeli pop singer who won the Eurovision Song Contest in 1998 and became a prominent transgender icon.
|
E1563323
|
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: Yaron Cohen | Statement: [Dana International, birthName, Yaron Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaron Cohen Context triple: [Dana International, birthName, Yaron Cohen]
-
A.
Yaron Levy
Yaron Levy is a cinematographer known for his work on films such as the comedy sequel "Jay and Silent Bob Reboot."
-
B.
Oren Soffer
Oren Soffer is a cinematographer known for his work on the science fiction film "The Creator," where he collaborated with director Gareth Edwards to craft its distinctive visual style.
-
C.
Kobi Farhi
Kobi Farhi is an Israeli musician best known as the lead vocalist of the oriental metal band Orphaned Land.
-
D.
Yuval Yonay
Yuval Yonay is the son of Israeli writer and journalist Ehud Yonay, known for his article that inspired the film "Top Gun."
-
E.
Yaron Orbach
Yaron Orbach is a cinematographer known for his work on feature films and television, including the drama "Brain on Fire."
- 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: Yaron Cohen Triple: [Dana International, birthName, Yaron Cohen]
Generated description
Yaron Cohen is the birth name of Dana International, the Israeli pop singer who won the Eurovision Song Contest in 1998 and became a prominent transgender icon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yaron Cohen Target entity description: Yaron Cohen is the birth name of Dana International, the Israeli pop singer who won the Eurovision Song Contest in 1998 and became a prominent transgender icon.
-
A.
Yaron Levy
Yaron Levy is a cinematographer known for his work on films such as the comedy sequel "Jay and Silent Bob Reboot."
-
B.
Oren Soffer
Oren Soffer is a cinematographer known for his work on the science fiction film "The Creator," where he collaborated with director Gareth Edwards to craft its distinctive visual style.
-
C.
Kobi Farhi
Kobi Farhi is an Israeli musician best known as the lead vocalist of the oriental metal band Orphaned Land.
-
D.
Yuval Yonay
Yuval Yonay is the son of Israeli writer and journalist Ehud Yonay, known for his article that inspired the film "Top Gun."
-
E.
Yaron Orbach
Yaron Orbach is a cinematographer known for his work on feature films and television, including the drama "Brain on Fire."
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc9ff91a48190b7624101a8bcba09 |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcba2bcac8190a730b46d7f6ca04a |
completed | May 19, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcc033e7481908a5447dcb888828a |
completed | May 19, 2026, 2:33 a.m. |
Created at: April 17, 2026, 2:54 p.m.