Triple

T19359532
Position Surface form Disambiguated ID Type / Status
Subject Farooq Abdullah E484238 entity
Predicate givenName P17 FINISHED
Object Farooq
Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
 E1372095 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: Farooq | Statement: [Farooq Abdullah, givenName, Farooq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farooq
Context triple: [Farooq Abdullah, givenName, Farooq]
  • A. Zafar
    Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
  • B. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • C. Ayub
    Ayub is a subclan within the Isaaq clan-family, one of the major Somali clan confederations.
  • D. Feroze
    Feroze was an Indian politician and journalist best known as the husband of Indira Gandhi and a member of the Nehru–Gandhi political family.
  • E. Azeem
    Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
  • 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: Farooq
Triple: [Farooq Abdullah, givenName, Farooq]
Generated description
Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farooq
Target entity description: Farooq is a common male given name of Arabic origin, widely used in Muslim communities across South Asia and the Middle East.
  • A. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • B. Zafar
    Zafar was an important ancient South Arabian city that served as the political and cultural center of the Himyarite Kingdom in what is now Yemen.
  • C. Ayub
    Ayub is a subclan within the Isaaq clan-family, one of the major Somali clan confederations.
  • D. Feroze
    Feroze was an Indian politician and journalist best known as the husband of Indira Gandhi and a member of the Nehru–Gandhi political family.
  • E. Azeem
    Azeem is a wise and skilled Moorish warrior who becomes Robin Hood’s loyal companion in the film "Robin Hood: Prince of Thieves."
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07240f812c8190b101fa988defb96f completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07250f236c8190b32adebcae3745af completed May 15, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:34 p.m.