Triple

T1618663
Position Surface form Disambiguated ID Type / Status
Subject Marie de Esy E34779 entity
Predicate alsoKnownAs P39 FINISHED
Object Marie Mosquini E5455 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: Marie Mosquini | Statement: [Marie de Esy, alsoKnownAs, Marie Mosquini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie Mosquini
Context triple: [Marie de Esy, alsoKnownAs, Marie Mosquini]
  • A. Marie Mosquini chosen
    Marie Mosquini was an American silent film actress best known for her work in Hal Roach comedies during the 1910s and 1920s.
  • B. Georgette Magnani
    Georgette Magnani was the first wife of acclaimed American film director Vincente Minnelli, known primarily for her brief marriage to him before his rise to major Hollywood fame.
  • C. Esther Guerini
    Esther Guerini was the wife of American actor and politician Albert Dekker.
  • D. Lauretta Geigerman
    Lauretta Geigerman was the wife of American mob boss Frank Costello, a prominent figure in mid-20th-century organized crime.
  • E. 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.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a909addb348190a80a97422efcaa63 completed March 5, 2026, 4:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf3ffc4081909197690046d8ff22 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:28 p.m.