Triple

T4787748
Position Surface form Disambiguated ID Type / Status
Subject Al-Sufi E106524 entity
Predicate alsoKnownAs P39 FINISHED
Object Azophi
Azophi is the Latinized name of the 10th-century Persian astronomer Abd al-Rahman al-Sufi, renowned for his influential star catalog and work on constellations.
 E472070 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: Azophi | Statement: [Al-Sufi, alsoKnownAs, Azophi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azophi
Context triple: [Al-Sufi, alsoKnownAs, Azophi]
  • A. Tanaea
    Tanaea is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • B. Aegialos
    Aegialos was the ancient name of the Greek city-state later known as Sicyon, located in the northern Peloponnese.
  • C. Anaxibia
    Anaxibia is a figure in Greek mythology known as the wife of Nestor, king of Pylos.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • 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: Azophi
Triple: [Al-Sufi, alsoKnownAs, Azophi]
Generated description
Azophi is the Latinized name of the 10th-century Persian astronomer Abd al-Rahman al-Sufi, renowned for his influential star catalog and work on constellations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azophi
Target entity description: Azophi is the Latinized name of the 10th-century Persian astronomer Abd al-Rahman al-Sufi, renowned for his influential star catalog and work on constellations.
  • A. Tanaea
    Tanaea is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
  • B. Aegialos
    Aegialos was the ancient name of the Greek city-state later known as Sicyon, located in the northern Peloponnese.
  • C. Anaxibia
    Anaxibia is a figure in Greek mythology known as the wife of Nestor, king of Pylos.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65da229c81909c703393f7b9b71d completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d93f2cc8190acf96766d2c5a946 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e61a9a8819096e3c4ba7612de85 completed March 21, 2026, 7:53 a.m.
NED2 Entity disambiguation (via description) batch_69be4f0d51ac819097636aaf2429f317 completed March 21, 2026, 7:55 a.m.
Created at: March 20, 2026, 1:22 p.m.