Triple

T12852942
Position Surface form Disambiguated ID Type / Status
Subject Marija Milošević E307369 entity
Predicate givenName P17 FINISHED
Object Marija E108095 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: Marija | Statement: [Marija Milošević, givenName, Marija]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marija
Context triple: [Marija Milošević, givenName, Marija]
  • A. Marija chosen
    Marija is a feminine given name commonly used in Slavic and other European cultures, equivalent to "Maria" or "Mary."
  • B. Emilija
    Emilija is a feminine given name commonly used in various Slavic and Baltic countries, equivalent to Emilia or Emily in English.
  • C. Mirjana
    Mirjana is a feminine given name commonly used in various Slavic countries.
  • D. Branka
    "Branka" is a renowned 19th-century painting by Polish artist Artur Grottger, depicting the forced conscription of Poles into the Russian army and symbolizing national suffering under foreign rule.
  • E. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97021df7481909cd42a0f72040aa5 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba79918819093e047ce22191923 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.