Triple

T8455861
Position Surface form Disambiguated ID Type / Status
Subject Faiz Ahmed Faiz E199916 entity
Predicate employer P7 FINISHED
Object Imroze
Imroze is a Pakistani artist and designer best known for his close personal and creative association with the renowned poet Faiz Ahmed Faiz.
E735155 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: Imroze | Statement: [Faiz Ahmed Faiz, employer, Imroze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imroze
Context triple: [Faiz Ahmed Faiz, employer, Imroze]
  • A. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • B. Izhar
    Izhar is a biblical figure from the Hebrew Bible, known as a Levite and the father of Korah.
  • C. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • D. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • E. Omaar
    Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
  • 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: Imroze
Triple: [Faiz Ahmed Faiz, employer, Imroze]
Generated description
Imroze is a Pakistani artist and designer best known for his close personal and creative association with the renowned poet Faiz Ahmed Faiz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Imroze
Target entity description: Imroze is a Pakistani artist and designer best known for his close personal and creative association with the renowned poet Faiz Ahmed Faiz.
  • A. Mirza
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • B. Izhar
    Izhar is a biblical figure from the Hebrew Bible, known as a Levite and the father of Korah.
  • C. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • D. Shobab
    Shobab is a lesser-known son of King David of Israel and Bathsheba, mentioned briefly in the Hebrew Bible.
  • E. Omaar
    Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe48e0ae481908b40f7f124b0551e completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1de232508190803fd2dad21e677f completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce1f88d404819096c6024c0e61d1ea completed April 2, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:10 p.m.