Triple

T3269065
Position Surface form Disambiguated ID Type / Status
Subject Carine E68597 entity
Predicate hasRelatedName P3889 FINISHED
Object Katrin E58213 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: Katrin | Statement: [Carine, hasRelatedName, Katrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katrin
Context triple: [Carine, hasRelatedName, Katrin]
  • A. Katrin chosen
    Katrin is a feminine given name, commonly used in various European countries, that is a variant of the name Catherine.
  • B. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • C. Britta Ernst
    Britta Ernst is a German politician of the Social Democratic Party (SPD) who has served as a state minister for education in several German states and is married to Chancellor Olaf Scholz.
  • D. Rebekka Vaark
    Rebekka Vaark is a central character in Toni Morrison’s novel "A Mercy," depicted as a European immigrant wife navigating hardship, loss, and the complexities of early American colonial life on a remote farm.
  • E. Monika Henreid
    Monika Henreid is the daughter of classic Hollywood actor and director Paul Henreid, known for his roles in films such as "Casablanca" and "Now, Voyager."
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafd0eddc8190834a64f6b8e8e9f9 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28efded588190bd6c361e5298b496 completed March 12, 2026, 10:01 a.m.
Created at: March 8, 2026, 3:09 p.m.