Triple

T16430277
Position Surface form Disambiguated ID Type / Status
Subject Goddard E399054 entity
Predicate derivedFromGivenName P17 FINISHED
Object Godard E40649 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: Godard | Statement: [Goddard, derivedFromGivenName, Godard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Godard
Context triple: [Goddard, derivedFromGivenName, Godard]
  • A. André Godard
    André Godard was a French architect and archaeologist best known for his influential work on cultural and educational buildings in Iran during the early 20th century.
  • B. Jean-Luc Godard chosen
    Jean-Luc Godard was a pioneering French-Swiss film director and key figure of the French New Wave, renowned for his radical innovations in cinematic form, narrative, and political engagement.
  • C. Alain Godard
    Alain Godard was a French screenwriter best known for co-writing the World War II film "Enemy at the Gates."
  • D. Jean Marchal
    Jean Marchal was a hotelier and entrepreneur best known for establishing the historic Hôtel d’Angleterre.
  • E. Jacques Rivette
    Jacques Rivette was a pioneering French film director and critic associated with the French New Wave, known for his innovative narrative structures and marathon-length, improvisational films.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fe0f488190ac34aa677c980a20 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004584fa508190a85b1f79ecf9c258 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.