Triple

T8995296
Position Surface form Disambiguated ID Type / Status
Subject Adrienne Fazan E214888 entity
Predicate notableWork P4 FINISHED
Object Kismet E136799 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: Kismet | Statement: [Adrienne Fazan, notableWork, Kismet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kismet
Context triple: [Adrienne Fazan, notableWork, Kismet]
  • A. Kismet
    Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
  • B. Kismet chosen
    Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
  • C. Kismet
    Kismet is a small, laid-back beach community on Fire Island, New York, known for its vacation homes, bars, and easygoing summer atmosphere.
  • D. The Robot
    The Robot is the English title of the Indian science fiction film "Enthiran," which centers on a powerful humanoid robot and its creator.
  • E. Cozmo
    Cozmo is the playful, costumed alien mascot of Major League Soccer club LA Galaxy, known for entertaining fans at matches and team events.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68ddff288190869731df2c178ff6 completed April 1, 2026, 12:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0d0e6a08190a2faf4157b8a9cd4 completed April 3, 2026, 2:38 p.m.
Created at: March 30, 2026, 7:04 p.m.