Triple

T11234914
Position Surface form Disambiguated ID Type / Status
Subject Little Caesar E265918 entity
Predicate musicBy P1952 FINISHED
Object Ernö Rapée E404526 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: Ernö Rapée | Statement: [Little Caesar, musicBy, Ernö Rapée]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ernö Rapée
Context triple: [Little Caesar, musicBy, Ernö Rapée]
  • A. Ernö Rapée chosen
    Ernö Rapée was a prominent early 20th-century conductor and film composer best known for his work in silent and early sound cinema.
  • B. Hans von Salmuth
    Hans von Salmuth was a German Wehrmacht general during World War II who held several high-level field commands on the Eastern and Western Fronts.
  • C. André Bloch
    André Bloch was a French composer and music educator known for his operas, chamber works, and long tenure as a professor at the Paris Conservatoire.
  • D. Felix Pollaczek
    Felix Pollaczek was a mathematician best known for his contributions to probability theory and queueing theory, including the Pollaczek–Khinchine formula.
  • E. Maurice Dunand
    Maurice Dunand was a French archaeologist renowned for his extensive excavations and research on ancient Near Eastern and Levantine sites.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e903b8ec81909f9c89776d35c650 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad56013481909f931505824e3b42 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.