Triple
T924332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonas |
E19949
|
entity |
| Predicate | equivalentName |
P6530
|
FINISHED |
| Object |
Yonas
Yonas is a given name, often used as a variant of Jonas in various cultures.
|
E110373
|
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: Yonas | Statement: [Jonas, equivalentName, Yonas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonas Context triple: [Jonas, equivalentName, Yonas]
-
A.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Tamar
Tamar is a biblical figure in the Book of 2 Samuel, known as the daughter of King David whose tragic story of abuse and injustice profoundly impacts David’s family narrative.
-
D.
Micali
Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
-
E.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
- 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: Yonas Triple: [Jonas, equivalentName, Yonas]
Generated description
Yonas is a given name, often used as a variant of Jonas in various cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yonas Target entity description: Yonas is a given name, often used as a variant of Jonas in various cultures.
-
A.
Ihnasya
Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Tamar
Tamar is a biblical figure in the Book of 2 Samuel, known as the daughter of King David whose tragic story of abuse and injustice profoundly impacts David’s family narrative.
-
D.
Micali
Micali is an Italian surname most notably associated with Silvio Micali, a Turing Award–winning computer scientist and cryptographer.
-
E.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3296f50819087f809fbe90b139e |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee094c94819093578c949db7ded9 |
completed | March 4, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69a7f46470f08190b24739c88ab628ad |
completed | March 4, 2026, 8:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f80a4a9c819085f024836018215d |
completed | March 4, 2026, 9:14 a.m. |
Created at: March 1, 2026, 7:40 p.m.