Triple

T6969463
Position Surface form Disambiguated ID Type / Status
Subject Baahubali: The Beginning E161565 entity
Predicate starredActor P5563 FINISHED
Object Nassar E178352 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: Nassar | Statement: [Baahubali: The Beginning, starredActor, Nassar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nassar
Context triple: [Baahubali: The Beginning, starredActor, Nassar]
  • A. Nassar chosen
    Nassar is a surname most prominently associated with Egyptian-American show jumping rider Nayel Nassar.
  • B. Nabil
    Nabil is a common Arabic given name meaning "noble" or "honorable," used across many Arabic-speaking and Muslim-majority cultures.
  • C. Kamal
    Kamal is a central figure in Naguib Mahfouz’s novel "Sugar Street," representing the introspective, politically aware younger generation within the multi-generational Cairo family saga.
  • D. Kamal
    Kamal is a given name shared by various notable individuals across politics, arts, and other fields in the Arabic-speaking world and beyond.
  • E. Kamal
    Kamal is a central figure in Naguib Mahfouz's novel "Palace of Desire," portrayed as a complex, introspective young man grappling with desire, morality, and modernity in early 20th-century Cairo.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1649288190a52c7dab57b3c7dc completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ada248190941ddf3b13cf3a74 completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.