Triple

T8564964
Position Surface form Disambiguated ID Type / Status
Subject Jyothika E202780 entity
Predicate spouse P13 FINISHED
Object Suriya E202778 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: Suriya | Statement: [Jyothika, spouse, Suriya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suriya
Context triple: [Jyothika, spouse, Suriya]
  • A. Suriya chosen
    Suriya is a prominent Indian actor and producer best known for his versatile performances in Tamil cinema across action, drama, and socially themed films.
  • B. Syria
    Syria is a country in the Eastern Mediterranean region of Western Asia, known for its ancient civilizations, diverse cultural heritage, and protracted civil war since 2011.
  • C. Sulaymaniya
    Sulaymaniya is a sub-school within the Zaydi branch of Shia Islam, distinguished by its own specific theological and legal interpretations.
  • D. Firaaq
    Firaaq is a critically acclaimed 2008 Indian drama film directed by Nandita Das that explores the emotional aftermath of the 2002 Gujarat riots through multiple interwoven stories.
  • E. Kurdistan
    Kurdistan is a geo-cultural region in the Middle East spanning parts of Turkey, Iraq, Iran, and Syria, traditionally inhabited by the Kurdish people and known for its distinct language, culture, and ongoing autonomy and independence movements.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc6a63488190a03d1f5e80ac28b4 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:20 p.m.