Triple

T1667099
Position Surface form Disambiguated ID Type / Status
Subject Melanija Knavs E36036 entity
Predicate name P16 FINISHED
Object Melanija Knavs E36036 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: Melanija Knavs | Statement: [Melanija Knavs, name, Melanija Knavs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melanija Knavs
Context triple: [Melanija Knavs, name, Melanija Knavs]
  • A. Melanija Knavs chosen
    Melanija Knavs is the Slovenian-born former fashion model who became First Lady of the United States as the wife of Donald Trump.
  • B. Tanja Stomporowski
    Tanja Stomporowski is a German local politician who serves as the mayor of the town of Quakenbrück in Lower Saxony.
  • C. Anja Lechner
    Anja Lechner is a German cellist renowned for her versatile performances spanning classical, contemporary, and world music collaborations.
  • D. Emilie Schenkl
    Emilie Schenkl was an Austrian woman best known as the wife of Indian nationalist leader Subhas Chandra Bose and the mother of their daughter, Anita Bose Pfaff.
  • E. Ruzena Bajcsy
    Ruzena Bajcsy is a pioneering computer scientist and engineer known for her influential work in robotics, computer vision, and artificial intelligence.
  • 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_69a8861286808190939afff3ce8ee31e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90adc57cc8190b270004c363768e3 completed March 5, 2026, 4:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad683207b08190a86c266aaece4e98 completed March 8, 2026, 12:14 p.m.
Created at: March 4, 2026, 7:29 p.m.