Triple

T16183360
Position Surface form Disambiguated ID Type / Status
Subject Jo Jeeta Wohi Sikandar E392738 entity
Predicate leadActress P6108 FINISHED
Object Ayesha Jhulka E1199378 NE FINISHED

How this triple was built (2 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: Ayesha Jhulka | Statement: [Jo Jeeta Wohi Sikandar, leadActress, Ayesha Jhulka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayesha Jhulka
Context triple: [Jo Jeeta Wohi Sikandar, leadActress, Ayesha Jhulka]
  • A. Ayesha Jhulka chosen
    Ayesha Jhulka is an Indian film actress best known for her popular roles in early 1990s Bollywood cinema.
  • B. Neelima Azeem
    Neelima Azeem is an Indian actress and classical Kathak dancer known for her work in television, film, and theatre, as well as being the mother of Bollywood actor Shahid Kapoor.
  • C. Shibani Khan
    Shibani Khan, also known as Muhammad Shaybani, was a prominent Uzbek ruler and military leader who founded the Shaybanid dynasty in Central Asia in the late 15th and early 16th centuries.
  • D. Ambika Suri
    Ambika Suri is known as the wife of Indian actor and producer Sanjay Suri.
  • E. Bhumika Chawla
    Bhumika Chawla is an Indian actress known for her work in Hindi, Telugu, and Tamil films, including notable roles in movies like "Tere Naam" and "Gandhi, My Father."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0007899b408190abcb7e72bdc81e9d completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:02 a.m.