Triple

T5320288
Position Surface form Disambiguated ID Type / Status
Subject The Boy Next Door E121655 entity
Predicate sungByCharacter P14884 FINISHED
Object Esther Smith E235584 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: Esther Smith | Statement: [The Boy Next Door, sungByCharacter, Esther Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esther Smith
Context triple: [The Boy Next Door, sungByCharacter, Esther Smith]
  • A. Esther Smith chosen
    Esther Smith is the central teenage daughter in the classic 1944 MGM musical film "Meet Me in St. Louis," famously portrayed by Judy Garland.
  • B. Esther Harvey
    Esther Harvey was the wife of renowned American Broadway baritone and actor Alfred Drake.
  • C. Esther Ross
    Esther Ross was the woman who served as the sponsor and ceremonial namesake figure for the U.S. Navy battleship USS Arizona (BB-39) at its christening.
  • D. Esther Drummond
    Esther Drummond is a CIA analyst who becomes a key member of the Torchwood team in the science fiction television series "Torchwood: Miracle Day."
  • E. Esther Champion
    Esther Champion was the wife of Moses Cleaveland, the American surveyor and founder of the city of Cleveland, Ohio.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8574c4b48190a0513ce59eedb564 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a8c43988190814e3b2cca509f15 completed March 22, 2026, 12:40 a.m.
Created at: March 20, 2026, 1:59 p.m.