Triple

T13677389
Position Surface form Disambiguated ID Type / Status
Subject Die Jungfrau von Orleans E327911 entity
Predicate character P662 FINISHED
Object Talbot E500239 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: Talbot | Statement: [Die Jungfrau von Orleans, character, Talbot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talbot
Context triple: [Die Jungfrau von Orleans, character, Talbot]
  • A. Talbot chosen
    Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
  • B. Winstone
    Winstone is an English surname most notably borne by actor Ray Winstone, known for his tough-guy roles in film and television.
  • C. Curzon
    Curzon is a notable British surname historically associated with aristocratic families and political figures in the United Kingdom.
  • D. Yates
    Yates is a surname of English origin borne by various notable individuals across literature, politics, sports, and other fields.
  • E. Talbot Horizon
    The Talbot Horizon is a late-1970s to mid-1980s European compact hatchback car produced by Chrysler Europe and later PSA, known for its practical design and role as a predecessor to the Peugeot 309.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65d8dc081909664e69bb38610ba completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794405a38819085f38170c56564f2 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.