Triple

T16301428
Position Surface form Disambiguated ID Type / Status
Subject Mary Anne Frere E395797 entity
Predicate familyName P18 FINISHED
Object Frere E383602 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: Frere | Statement: [Mary Anne Frere, familyName, Frere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frere
Context triple: [Mary Anne Frere, familyName, Frere]
  • A. Frere chosen
    Frere is an English surname most notably associated with Sir Henry Bartle Frere, a 19th-century British colonial administrator and diplomat.
  • B. Lafresnaye
    Lafresnaye was a 19th-century French ornithologist known for describing numerous bird species.
  • C. Frantz
    Frantz is the given name of Frantz Fanon, the influential Martinican psychiatrist, philosopher, and anti-colonial theorist.
  • D. Freidig
    Freidig is the former name of the Norwegian football club Hamarkameratene, commonly known as HamKam.
  • E. La Frenais
    La Frenais is a surname most notably associated with British television writer Ian La Frenais, known for co-creating several classic UK comedy series.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e32da7081908d8bd320374a5731 completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9fb2908190a8521b1ccf49170a completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.