Triple
T10846326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azaria Paz |
E256017
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Azaria
Azaria is a given name used by various individuals, including the Israeli engineer and academic Azaria Paz.
|
E889660
|
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: Azaria | Statement: [Azaria Paz, givenName, Azaria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azaria Context triple: [Azaria Paz, givenName, Azaria]
-
A.
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.
-
B.
Tamar
"Tamar" is the self-titled debut studio album by American R&B singer Tamar Braxton, showcasing her early solo artistry and vocal style.
-
C.
Juliane
Juliane is a feminine given name, commonly used in various European languages, that is related to and often considered a variant of the name Juliana or Julie.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
- 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: Azaria Triple: [Azaria Paz, givenName, Azaria]
Generated description
Azaria is a given name used by various individuals, including the Israeli engineer and academic Azaria Paz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azaria Target entity description: Azaria is a given name used by various individuals, including the Israeli engineer and academic Azaria Paz.
-
A.
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.
-
B.
Tamar
"Tamar" is the self-titled debut studio album by American R&B singer Tamar Braxton, showcasing her early solo artistry and vocal style.
-
C.
Juliane
Juliane is a feminine given name, commonly used in various European languages, that is related to and often considered a variant of the name Juliana or Julie.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Aliza
Aliza is a feminine given name, often considered a variant of Eliza and used in various cultures with meanings related to joy or nobility.
- 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d132e081909c977b3dc4110ca4 |
completed | April 9, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69deb162d718819081fbc3a082672b4f |
completed | April 14, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69dec255abb08190bf93573c41aa35e9 |
completed | April 14, 2026, 10:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69dec7c48c3c81909365b901830f0906 |
completed | April 14, 2026, 11:03 p.m. |
Created at: April 8, 2026, 9:20 p.m.