Triple

T1397366
Position Surface form Disambiguated ID Type / Status
Subject Mazar-e-Quaid E30697 entity
Predicate architect P184 FINISHED
Object Yahya Merchant
Yahya Merchant was an Indian architect best known for designing the Mazar-e-Quaid, the mausoleum of Pakistan’s founder Muhammad Ali Jinnah in Karachi.
E160494 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: Yahya Merchant | Statement: [Mazar-e-Quaid, architect, Yahya Merchant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yahya Merchant
Context triple: [Mazar-e-Quaid, architect, Yahya Merchant]
  • A. Said Malek
    Said Malek is the father of Academy Award–winning actor Rami Malek.
  • B. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • C. Henry Barakat
    Henry Barakat was a prominent Egyptian film director and one of the leading figures of classical Egyptian cinema.
  • D. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • E. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • 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: Yahya Merchant
Triple: [Mazar-e-Quaid, architect, Yahya Merchant]
Generated description
Yahya Merchant was an Indian architect best known for designing the Mazar-e-Quaid, the mausoleum of Pakistan’s founder Muhammad Ali Jinnah in Karachi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yahya Merchant
Target entity description: Yahya Merchant was an Indian architect best known for designing the Mazar-e-Quaid, the mausoleum of Pakistan’s founder Muhammad Ali Jinnah in Karachi.
  • A. Said Malek
    Said Malek is the father of Academy Award–winning actor Rami Malek.
  • B. Yahya
    Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
  • C. Henry Barakat
    Henry Barakat was a prominent Egyptian film director and one of the leading figures of classical Egyptian cinema.
  • D. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • E. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3817320819093067b1444d70b74 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde310f748190a5c58caf4fbaa5c5 completed March 8, 2026, 2:25 a.m.
NEDg Description generation batch_69acdee073fc819098c906d91870b317 completed March 8, 2026, 2:28 a.m.
NED2 Entity disambiguation (via description) batch_69ace0a7ddc08190a44be1707587351b completed March 8, 2026, 2:36 a.m.
Created at: March 1, 2026, 7:59 p.m.