Triple

T13344313
Position Surface form Disambiguated ID Type / Status
Subject Dana Elcar E317909 entity
Predicate givenName P17 FINISHED
Object Dana E135363 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: Dana | Statement: [Dana Elcar, givenName, Dana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana
Context triple: [Dana Elcar, givenName, Dana]
  • A. Dana chosen
    Dana is a feminine given name commonly used in various cultures, including Czech, English, and Hebrew-speaking communities.
  • B. Dana
    Dana is a scientific work or authority that provides the formal description and classification of Antarctic krill.
  • C. The Dana
    The Dana is the historic former Shrewsbury Prison in Shropshire, England, now known for guided tours and heritage events.
  • D. Tanasi
    Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
  • E. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8839b48190b164414b418e756c completed April 11, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f417e4081908ab2025a313bfad1 completed May 3, 2026, 10:11 a.m.
Created at: April 9, 2026, 9:31 p.m.