Triple

T12435852
Position Surface form Disambiguated ID Type / Status
Subject Sajida E297140 entity
Predicate hasRelatedName P3889 FINISHED
Object Sajid E737537 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: Sajid | Statement: [Sajida, hasRelatedName, Sajid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sajid
Context triple: [Sajida, hasRelatedName, Sajid]
  • A. Sajid chosen
    Sajid is a masculine given name of Arabic origin commonly used in South Asian and Muslim communities.
  • B. Junaid Khan
    Junaid Khan is the son of Indian actor Aamir Khan and has begun pursuing a career in acting and filmmaking.
  • C. Azam Khan
    Azam Khan is an Indian politician and founding member of the Samajwadi Party, known for his long tenure as a legislator from Uttar Pradesh and his influential role in state politics.
  • D. Tariq Anwar
    Tariq Anwar is a British film editor known for his acclaimed work on numerous major films, including the Academy Award–winning drama "The King’s Speech."
  • E. Salim Malik
    Salim Malik is a central character in the film "Slumdog Millionaire," portrayed as the conflicted older brother of the protagonist Jamal whose choices drive much of the story’s drama and moral tension.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349f0f34819080e7d7f83f7baece completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.