Triple

T17589584
Position Surface form Disambiguated ID Type / Status
Subject Theologus Autodidactus E428408 entity
Predicate mainCharacter P1183 FINISHED
Object Kamil NE NERFINISHED

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: Kamil | Statement: [Theologus Autodidactus, mainCharacter, Kamil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamil
Context triple: [Theologus Autodidactus, mainCharacter, Kamil]
  • A. Kamil chosen
    Kamil is a masculine given name of Arabic origin, commonly used in various cultures and languages with meanings related to perfection or completeness.
  • B. Kamil Gali
    Kamil Gali is a residential neighborhood located within Lyari Town in Karachi, Pakistan.
  • C. Karol
    Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
  • D. Jarek
    Jarek is a masculine given name, commonly used in Slavic countries, often as a diminutive or variant of names like Jarosław.
  • E. Szymon
    Szymon is a masculine given name of Hebrew origin, commonly used in Poland and other Slavic countries as a variant of Simon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469e62d5c81909134e30a6d0f2e20 completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.