Triple

T15080111
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Lewis E380117 entity
Predicate givenName P17 FINISHED
Object Geoffrey E28362 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: Geoffrey | Statement: [Geoffrey Lewis, givenName, Geoffrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey
Context triple: [Geoffrey Lewis, givenName, Geoffrey]
  • A. Geoffrey chosen
    Geoffrey is a masculine given name of English origin, famously borne by pioneering computer scientist and AI researcher Geoffrey Hinton.
  • B. Geoffrey
    Geoffrey was a medieval English prince, one of the sons of King Henry II of England and Eleanor of Aquitaine.
  • C. Geoffrey the Handsome
    Geoffrey the Handsome was a 12th-century Count of Anjou and Duke of Normandy, notable as the husband of Empress Matilda and the father of King Henry II of England, founding the Plantagenet dynasty.
  • D. Leodore Lionheart
    Leodore Lionheart is the lion mayor of Zootopia in Disney's animated film "Zootopia," known for his charismatic leadership and involvement in the city's predator-prey tensions.
  • E. Peter of Brittany
    Peter of Brittany was a medieval French nobleman and member of the ducal family of Brittany, known primarily as a younger son of Duke John I.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff80008c88190840f94222f867478 completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae15d6308190a62b4f66c550db04 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:03 a.m.