Triple

T4423290
Position Surface form Disambiguated ID Type / Status
Subject Daniel Radcliffe E95151 entity
Predicate familyName P18 FINISHED
Object Radcliffe E38573 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: Radcliffe | Statement: [Daniel Radcliffe, familyName, Radcliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radcliffe
Context triple: [Daniel Radcliffe, familyName, Radcliffe]
  • A. Radcliffe chosen
    Radcliffe is a town in Greater Manchester, England, historically part of Lancashire and known for its industrial heritage along the River Irwell.
  • B. Heythrop
    Heythrop is a small rural village in West Oxfordshire, England, known for its historic country estate and tranquil countryside setting.
  • C. Clare Hall
    Clare Hall is a constituent college of the University of Cambridge, known for its strong focus on advanced study and research, particularly at the graduate and postdoctoral levels.
  • D. Girton
    Girton is a village and civil parish on the outskirts of Cambridge in South Cambridgeshire, England, known for its proximity to the city and the presence of Girton College.
  • E. University Hall
    University Hall was the original name of what later became Clare College, one of the historic constituent colleges of the University of Cambridge.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554b36a48190a475ac5474bed132 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62bbee48190bae8fc7b9cc29086 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:30 p.m.