Triple

T4881366
Position Surface form Disambiguated ID Type / Status
Subject Joe DiMaggio E109333 entity
Predicate subjectOfSong P36336 FINISHED
Object Mrs. Robinson E243065 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: Mrs. Robinson | Statement: [Joe DiMaggio, subjectOfSong, Mrs. Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Robinson
Context triple: [Joe DiMaggio, subjectOfSong, Mrs. Robinson]
  • A. Mrs. Robinson chosen
    "Mrs. Robinson" is a famous 1968 folk-rock song by Simon & Garfunkel, widely associated with the film *The Graduate* and known for its cultural commentary and memorable chorus.
  • B. Marilyn
    A Marilyn is a type of British hill or mountain classified by having a prominence of at least 150 meters, regardless of its absolute height.
  • C. Malvina Reynolds
    Malvina Reynolds was an American folk singer-songwriter and political activist best known for her socially conscious songs like "Little Boxes" that became emblematic of the 1960s folk music revival.
  • D. Janis
    Janis is a given name, often used as a variant of Janice, that can be masculine or feminine depending on cultural context.
  • E. Esther Gordy Edwards
    Esther Gordy Edwards was a Motown executive and preservationist who played a key role in the label’s development and later safeguarded its legacy as a cultural institution.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dde6fcc8190a5aa7587f85632bd completed March 20, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69be68070bb0819095bda199cc966d31 completed March 21, 2026, 9:42 a.m.
Created at: March 20, 2026, 1:27 p.m.