Triple

T20351866
Position Surface form Disambiguated ID Type / Status
Subject Moon Moon Sen E496031 entity
Predicate name P16 FINISHED
Object Moon Moon Sen 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: Moon Moon Sen | Statement: [Moon Moon Sen, name, Moon Moon Sen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moon Moon Sen
Context triple: [Moon Moon Sen, name, Moon Moon Sen]
  • A. Moon Moon Sen chosen
    Moon Moon Sen is an Indian actress known for her work in Bengali and Hindi cinema and as the daughter of legendary actress Suchitra Sen.
  • B. Lilakoi Moon
    Lilakoi Moon is the legal name of American actress Lisa Bonet, known for her role as Denise Huxtable on "The Cosby Show" and its spin-off "A Different World."
  • C. Moonje
    Moonje is an Indian surname most notably associated with B. S. Moonje, a prominent early 20th-century Hindu nationalist leader and social reformer.
  • D. Moni
    Moni is a small Greek island in the Saronic Gulf, known for its clear waters, pine forests, and free-roaming deer and peacocks.
  • E. Moni
    Moni is a small village in central Flores, Indonesia, known primarily as the main gateway for visitors trekking to the multicolored crater lakes of Mount Kelimutu.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67850ace48190b19aff5780fef7e8 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.