Triple

T22884973
Position Surface form Disambiguated ID Type / Status
Subject Danny E567577 entity
Predicate etymologicallyRelatedTo P5801 FINISHED
Object Danel 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: Danel | Statement: [Danny, etymologicallyRelatedTo, Danel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Danel
Context triple: [Danny, etymologicallyRelatedTo, Danel]
  • A. Danel chosen
    Danel is a variant form of the given name Daniel, commonly found in certain linguistic and cultural traditions.
  • B. Eyvind
    Eyvind is a masculine given name of Old Norse origin, historically associated with Scandinavian culture and borne by figures such as the American artist Eyvind Earle.
  • C. Garvald
    Garvald is a small rural village in East Lothian, Scotland, known for its historic stone buildings and scenic countryside setting.
  • D. Ulf
    Ulf is a masculine given name of Germanic origin, commonly used in German and Scandinavian countries.
  • E. Elfred
    Elfred is the first name of Elfred Anthony Pinkard, an American academic administrator and higher education leader.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fbfc5848190aa612ea51df5a9ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.