Triple

T11994224
Position Surface form Disambiguated ID Type / Status
Subject George Luz E285486 entity
Predicate appearsInEpisode P795 FINISHED
Object Carentan E99852 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: Carentan | Statement: [George Luz, appearsInEpisode, Carentan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carentan
Context triple: [George Luz, appearsInEpisode, Carentan]
  • A. Carentan chosen
    Carentan is a small town in Normandy, France, known for its strategic role in the D-Day landings and subsequent World War II battles.
  • B. Caere
    Caere was a major ancient Etruscan city-state in central Italy, noted for its wealth, maritime trade, and close cultural contacts with the Greek and Phoenician worlds.
  • C. Carnan
    Carnan is a small settlement on South Uist in Scotland’s Outer Hebrides.
  • D. Cannetan
    A Cannetan is a resident or native of Le Cannet, a commune in the Alpes-Maritimes department of southeastern France.
  • E. Crenna
    Crenna is a surname most notably associated with American actor and director Richard Crenna, known for his roles in film and television from the mid-20th century onward.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b211688190bfe6dd15c3f96d2f completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47273e1088190b899071baff1375a completed May 1, 2026, 9:29 a.m.
Created at: April 8, 2026, 9:46 p.m.