Triple
T9224646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prophet Ishaq |
E221649
|
entity |
| Predicate | grandsonOf |
P27130
|
FINISHED |
| Object |
Azar
Azar is traditionally regarded in Islamic narratives as the father of the Prophet Ibrahim (Abraham) and an ancestor of later prophets including Ishaq (Isaac).
|
E785023
|
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: Azar | Statement: [Prophet Ishaq, grandsonOf, Azar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azar Context triple: [Prophet Ishaq, grandsonOf, Azar]
-
A.
Akrar
Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
-
B.
Arzla
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
-
C.
Zare
Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
-
D.
Azara
Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
-
E.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
- 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: Azar Triple: [Prophet Ishaq, grandsonOf, Azar]
Generated description
Azar is traditionally regarded in Islamic narratives as the father of the Prophet Ibrahim (Abraham) and an ancestor of later prophets including Ishaq (Isaac).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azar Target entity description: Azar is traditionally regarded in Islamic narratives as the father of the Prophet Ibrahim (Abraham) and an ancestor of later prophets including Ishaq (Isaac).
-
A.
Akrar
Akrar is a small village located on the island of Suðuroy in the Faroe Islands.
-
B.
Arzla
Arzla is a small locality or subdivision within the municipality of Inning am Ammersee in Bavaria, Germany.
-
C.
Zare
Zare is the surname of Richard N. Zare, a prominent American chemist known for his pioneering work in laser chemistry and molecular reaction dynamics.
-
D.
Azara
Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
-
E.
Razihi
Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
- 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_69ca83ec8db08190a9110df8232885d2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda9c71c4819089dcc3689f322529 |
completed | April 1, 2026, 8:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0664565748190a45cf382fca72cbe |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d06771ba808190a7b10f664425e76e |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d068087ab881908edcfd384a2e3f07 |
completed | April 4, 2026, 1:23 a.m. |
Created at: March 30, 2026, 7:28 p.m.