Triple

T14661193
Position Surface form Disambiguated ID Type / Status
Subject Francistown E344241 entity
Predicate namedAfter P63 FINISHED
Object Daniel Francis E344241 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: Daniel Francis | Statement: [Francistown, namedAfter, Daniel Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Francis
Context triple: [Francistown, namedAfter, Daniel Francis]
  • A. Daniel Francis chosen
    Daniel Francis was a prominent figure after whom the city of Francistown in Botswana was named, likely due to his significant role in the region’s early development or history.
  • B. Daniel Francis
    Daniel Francis is an actor best known for playing the villainous Dr. Facilier in Disney’s live-action television series "Once Upon a Time."
  • C. Andrew Fagan
    Andrew Fagan is a New Zealand singer-songwriter and poet best known as the frontman of the 1980s band The Mockers and for his later solo and literary work.
  • D. Justin Francis
    Justin Francis is a music video director known for creating visually distinctive videos for various popular artists.
  • E. James Franciscus
    James Franciscus was an American actor best known for his leading roles in 1960s and 1970s film and television, including the series "Mr. Novak" and "Longstreet."
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51c84448190a1f5fa9ab8a1e2c4 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf07c7fa88190bb09f2f444d69786 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:27 a.m.