Triple

T22008732
Position Surface form Disambiguated ID Type / Status
Subject Tobi E543518 entity
Predicate relatedName P3889 FINISHED
Object Tova 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: Tova | Statement: [Tobi, relatedName, Tova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tova
Context triple: [Tobi, relatedName, Tova]
  • A. Tova chosen
    Tova is a feminine given name, often of Hebrew or Scandinavian origin, associated with meanings like "good" or "beautiful."
  • B. Talya
    Talya is a feminine given name used in various cultures, often considered a variant of names like Talia and associated with meanings such as “dew from God” or “morning dew.”
  • C. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • D. Daphna
    Daphna is a feminine given name of Hebrew origin meaning "laurel" or "bay tree."
  • E. Gavriella
    Gavriella is a feminine given name, typically considered a variant of Gabriella with similar Hebrew and Italian roots meaning "God is my strength."
  • 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_69e11e2db934819095556760c7d85e4d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127a2aebc8190951ee0bf9fd8e16d completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:21 p.m.