Triple

T16528053
Position Surface form Disambiguated ID Type / Status
Subject Zarina Wahab E401489 entity
Predicate hasSibling P363 FINISHED
Object Malika Wahab
Malika Wahab is an Indian woman known primarily as the sister of acclaimed film and television actress Zarina Wahab.
E1220902 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: Malika Wahab | Statement: [Zarina Wahab, hasSibling, Malika Wahab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malika Wahab
Context triple: [Zarina Wahab, hasSibling, Malika Wahab]
  • A. Asmahan Arslan
    Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
  • B. Mizzi Ahmar
    Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
  • C. Najwa
    Najwa is a Spanish actress and singer best known for her roles in series like "Money Heist" and her work in the electronic music duo Najwajean.
  • D. Malika Haqq
    Malika Haqq is an American television personality and actress best known for her appearances on reality shows alongside Khloé Kardashian and her role on the series "Dash Dolls."
  • E. Riza Aziz
    Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
  • 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: Malika Wahab
Triple: [Zarina Wahab, hasSibling, Malika Wahab]
Generated description
Malika Wahab is an Indian woman known primarily as the sister of acclaimed film and television actress Zarina Wahab.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Malika Wahab
Target entity description: Malika Wahab is an Indian woman known primarily as the sister of acclaimed film and television actress Zarina Wahab.
  • A. Asmahan Arslan
    Asmahan Arslan is a prominent Lebanese Druze political figure and member of the influential Arslan family.
  • B. Mizzi Ahmar
    Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
  • C. Najwa
    Najwa is a Spanish actress and singer best known for her roles in series like "Money Heist" and her work in the electronic music duo Najwajean.
  • D. Malika Haqq
    Malika Haqq is an American television personality and actress best known for her appearances on reality shows alongside Khloé Kardashian and her role on the series "Dash Dolls."
  • E. Riza Aziz
    Riza Aziz is a Malaysian film producer and co-founder of Red Granite Pictures, known for financing high-profile Hollywood films and being embroiled in the 1MDB corruption scandal.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed808448190936ea51a9a28a95a completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fe59a6c8190a8c0a7bc11495f56 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a007068715c8190914ccac7b14103e4 completed May 10, 2026, 11:47 a.m.
Created at: April 10, 2026, 5:14 a.m.