Triple

T22872274
Position Surface form Disambiguated ID Type / Status
Subject Jay E567228 entity
Predicate hasVariant P455 FINISHED
Object Jai 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: Jai | Statement: [Jay, hasVariant, Jai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jai
Context triple: [Jay, hasVariant, Jai]
  • A. Jai
    Jai is the given name of Australian actor Jai Courtney, known for his roles in action and blockbuster films.
  • B. Jai chosen
    Jai is an Indian actor best known for his work in Tamil cinema, particularly for his breakout performance in the critically acclaimed film "Subramaniapuram."
  • C. Jai
    Jai is one of the iconic heroic protagonists from the classic Indian film "Sholay," known for his bravery, loyalty, and close friendship with Veeru.
  • D. Jai Pol
    Jai Pol is a historic victory gate at Mehrangarh Fort in Jodhpur, India, built to commemorate a Rajput military triumph.
  • E. Sanjay
    Sanjay is the central protagonist of the 1965 film "Shakespeare-Wallah," around whom the story of a traveling Shakespearean theatre troupe in post-colonial India revolves.
  • 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f05c688819097ba3d24ea8e52f5 completed April 29, 2026, 3:46 a.m.
Created at: April 17, 2026, 3:38 p.m.