Triple

T8670192
Position Surface form Disambiguated ID Type / Status
Subject Abu Lu’lu’a Firuz E205774 entity
Predicate alsoKnownAs P39 FINISHED
Object Fayruz
Fayruz is an alternate name for Abu Lu’lu’a Firuz, the Persian artisan historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab.
 E750088 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: Fayruz | Statement: [Abu Lu’lu’a Firuz, alsoKnownAs, Fayruz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fayruz
Context triple: [Abu Lu’lu’a Firuz, alsoKnownAs, Fayruz]
  • A. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • B. Malakeh Madar
    Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Laleh
    Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
  • E. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • 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: Fayruz
Triple: [Abu Lu’lu’a Firuz, alsoKnownAs, Fayruz]
Generated description
Fayruz is an alternate name for Abu Lu’lu’a Firuz, the Persian artisan historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fayruz
Target entity description: Fayruz is an alternate name for Abu Lu’lu’a Firuz, the Persian artisan historically known for assassinating the second Rashidun caliph, Umar ibn al-Khattab.
  • A. Fairuza
    Fairuza is a feminine given name most famously borne by American actress Fairuza Balk.
  • B. Malakeh Madar
    Malakeh Madar was the honorific title given to Tadj ol-Molouk, the queen mother of Iran during the Pahlavi dynasty.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Laleh
    Laleh is an Iranian-Swedish singer-songwriter, producer, and former actress known for her eclectic pop music and introspective lyrics.
  • E. Roshanak
    Roshanak is an ancient Persian female given name, often associated with Roxana, the wife of Alexander the Great.
  • 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_69ca83529a9c8190b5c075b4f14636ed completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4917cb9881909a73b74e54250613 completed March 31, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd2b996481908da33fbd95494376 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69cece8fcbcc8190832a66287bc8f833 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecff48600819086a15700cb947056 completed April 2, 2026, 8:22 p.m.
Created at: March 30, 2026, 6:31 p.m.