Triple

T19470224
Position Surface form Disambiguated ID Type / Status
Subject The Inheritance of Loss E487101 entity
Predicate protagonist P268 FINISHED
Object Sai 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: Sai | Statement: [The Inheritance of Loss, protagonist, Sai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sai
Context triple: [The Inheritance of Loss, protagonist, Sai]
  • A. Sai chosen
    Sai is the anglicized, orphaned granddaughter of a retired judge and the introspective teenage protagonist of Kiran Desai’s novel "The Inheritance of Loss."
  • B. Saihat
    Saihat is a coastal city in Saudi Arabia’s Eastern Province, known for its fishing heritage and proximity to major oil and industrial centers in the Gulf region.
  • C. Sai-ji
    Sai-ji is a historic Buddhist temple in Kyoto, Japan, traditionally regarded as the western counterpart to the famous Tō-ji temple.
  • D. Saib
    Saib is a character in Matthew Lewis's Gothic melodrama "The Castle Spectre," contributing to the play's dark, suspenseful atmosphere.
  • E. Saibai
    Saibai was the first wife of Maratha ruler Shivaji and the mother of his son Sambhaji, the second Chhatrapati of the Maratha Empire.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633e809008190b0021d41b99f9700 completed April 20, 2026, 2:10 p.m.
Created at: April 10, 2026, 1:39 p.m.