Triple

T20994844
Position Surface form Disambiguated ID Type / Status
Subject Dana Reeve E517120 entity
Predicate givenName P17 FINISHED
Object Dana 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: Dana | Statement: [Dana Reeve, givenName, Dana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana
Context triple: [Dana Reeve, 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. Dena
    Dena is a feminine given name used in various cultures, often as a variant of Dina or Deena.
  • E. 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.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1e75188190a97114238ea0b4f9 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.