Triple

T9197173
Position Surface form Disambiguated ID Type / Status
Subject Al-Hakam II E220745 entity
Predicate mother P120 FINISHED
Object Murjan
Murjan was a concubine in the Umayyad court of Córdoba and the mother of the Caliph Al-Hakam II.
 E784063 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: Murjan | Statement: [Al-Hakam II, mother, Murjan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Murjan
Context triple: [Al-Hakam II, mother, Murjan]
  • A. Duliajan
    Duliajan is a prominent industrial town in Assam, India, best known as the operational hub of the oil and natural gas industry in the region.
  • B. Martunashen
    Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • E. Dagomys
    Dagomys is a coastal resort settlement on the Black Sea in the Sochi area of Krasnodar Krai, Russia, known for its beaches and subtropical climate.
  • 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: Murjan
Triple: [Al-Hakam II, mother, Murjan]
Generated description
Murjan was a concubine in the Umayyad court of Córdoba and the mother of the Caliph Al-Hakam II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Murjan
Target entity description: Murjan was a concubine in the Umayyad court of Córdoba and the mother of the Caliph Al-Hakam II.
  • A. Duliajan
    Duliajan is a prominent industrial town in Assam, India, best known as the operational hub of the oil and natural gas industry in the region.
  • B. Martunashen
    Martunashen is a village in the disputed Nagorno-Karabakh region, known for being one of the sites affected by the Soviet Azerbaijani security forces’ Operation Ring in 1991.
  • C. Margush
    Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
  • D. Soligalich
    Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
  • E. Dagomys
    Dagomys is a coastal resort settlement on the Black Sea in the Sochi area of Krasnodar Krai, Russia, known for its beaches and subtropical climate.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd87f50e88190940e73af1deda747 completed April 1, 2026, 8:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c3b1af48190bb03af15232c510d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cfb7058819080d80b7f28125199 completed April 4, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69d05d91ad4c8190a45db7484b9f058a completed April 4, 2026, 12:38 a.m.
Created at: March 30, 2026, 7:25 p.m.