Triple

T2087358
Position Surface form Disambiguated ID Type / Status
Subject Michael Mann E45382 entity
Predicate sibling P363 FINISHED
Object Monika Mann E42635 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: Monika Mann | Statement: [Michael Mann, sibling, Monika Mann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monika Mann
Context triple: [Michael Mann, sibling, Monika Mann]
  • A. Monika Mann chosen
    Monika Mann was a German writer and essayist, best known as one of the literary Nobel laureate Thomas Mann’s daughters and a member of the prominent Mann family of intellectuals.
  • B. Shivani Ghai
    Shivani Ghai is a British actress known for her work in television, film, and theatre, including roles in series such as "EastEnders" and "Dominion."
  • C. Marianne Mithun
    Marianne Mithun is an American linguist renowned for her extensive work on Native American languages, language typology, and the documentation of endangered languages.
  • D. Jyoti Bansal
    Jyoti Bansal is an Indian-American entrepreneur and technologist best known for founding the application performance management company AppDynamics, which was acquired by Cisco for billions of dollars.
  • E. Kanika Banerjee
    Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba5641208190b925676b8d80f300 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d8928048190ab9ef79dde8ad4e0 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:41 p.m.