Triple

T11317860
Position Surface form Disambiguated ID Type / Status
Subject If I Were a Rich Man E268011 entity
Predicate sungByCharacter P14884 FINISHED
Object Tevye E918841 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: Tevye | Statement: [If I Were a Rich Man, sungByCharacter, Tevye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tevye
Context triple: [If I Were a Rich Man, sungByCharacter, Tevye]
  • A. Tevye chosen
    Tevye is the central dairyman character and philosophical narrator of Sholem Aleichem’s stories, best known as the protagonist of the musical and film "Fiddler on the Roof."
  • B. Tuvia Blatt
    Tuvia Blatt was a Polish-born Jewish Holocaust survivor best known as one of the few survivors of the Sobibor extermination camp uprising and later a prominent witness and author on the Holocaust.
  • C. Peretz
    Peretz is a Jewish surname most famously associated with I. L. Peretz, a seminal Yiddish and Hebrew writer of the late 19th and early 20th centuries.
  • D. Dolly Levi
    Dolly Levi is the charismatic, matchmaking widow who serves as the central character in the musical "Hello, Dolly!"
  • E. Chaim
    Chaim is a given name notably borne by Chaim Weizmann, the first President of the State of Israel and a prominent Zionist leader and chemist.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c3cf748190987838029d9f7fff completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b4ec4ac81908d51e3815a054704 completed April 20, 2026, 2:11 a.m.
Created at: April 8, 2026, 9:32 p.m.