Triple

T22091277
Position Surface form Disambiguated ID Type / Status
Subject Samantha E545917 entity
Predicate hasVariant P455 FINISHED
Object Samanta NE NERFINISHED

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: Samanta | Statement: [Samantha, hasVariant, Samanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samanta
Context triple: [Samantha, hasVariant, Samanta]
  • A. Samanta chosen
    Samanta was a feudal title in early medieval India, often denoting subordinate rulers or vassal chiefs under larger regional dynasties.
  • B. Sonam
    Sonam is the first name of Sonam Kapoor, a prominent Indian actress known for her work in Bollywood films and her fashion icon status.
  • C. Sharana
    Sharana is a small Afghan city that serves as the administrative and economic center of Paktika Province in southeastern Afghanistan.
  • D. Sujata
    Sujata is a classic 1959 Hindi social drama film directed by Bimal Roy, renowned for its sensitive portrayal of caste discrimination and human relationships.
  • E. Sanya Salve
    Sanya Salve is known as the daughter of prominent Indian jurist and senior advocate Harish Salve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e5edf08190a6743955bc872417 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.