Triple

T7850364
Position Surface form Disambiguated ID Type / Status
Subject Margaret Mazzantini E182034 entity
Predicate name P16 FINISHED
Object Margaret Mazzantini E182034 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: Margaret Mazzantini | Statement: [Margaret Mazzantini, name, Margaret Mazzantini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Mazzantini
Context triple: [Margaret Mazzantini, name, Margaret Mazzantini]
  • A. Margaret Mazzantini chosen
    Margaret Mazzantini is an Italian novelist, playwright, and actress best known internationally for her award-winning novels such as "Don't Move."
  • B. Margaret DeVogelaere
    Margaret DeVogelaere is best known as the third wife of American actor Peter Fonda, with whom she was married from 2011 until his death in 2019.
  • C. Margaret Domka
    Margaret Domka is an American soccer referee known for officiating at the highest levels of the women’s game, including major domestic and international competitions.
  • D. Margaret Tallichet
    Margaret Tallichet was an American film actress of the late 1930s and early 1940s who later became known for her long marriage to acclaimed director William Wyler.
  • E. Elaine Vassal
    Elaine Vassal is a flamboyant, gossip-loving secretary known for her quirky inventions and sharp wit on the television series "Ally McBeal."
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5606caa08190b68ff051bb8ef64d completed March 31, 2026, 11:17 p.m.
Created at: March 30, 2026, 4:50 p.m.