Triple

T18769963
Position Surface form Disambiguated ID Type / Status
Subject Custer County, Idaho E458990 entity
Predicate namedFor P63 FINISHED
Object General Custer NE NERFINISHED

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: General Custer | Statement: [Custer County, Idaho, namedFor, General Custer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Custer
Context triple: [Custer County, Idaho, namedFor, General Custer]
  • A. George Armstrong Custer chosen
    George Armstrong Custer was a U.S. Army officer and cavalry commander best known for his controversial leadership and death at the Battle of the Little Bighorn during the American Indian Wars.
  • B. Old Custer
    Old Custer is a fictional book written by the character Eli Cash in Wes Anderson’s film "The Royal Tenenbaums."
  • C. Custer
    Custer is a surname most famously associated with George Armstrong Custer, the U.S. Army officer and cavalry commander who died at the Battle of the Little Bighorn.
  • D. Christopher Carson
    Christopher Carson is one of the sons of legendary American television host and comedian Johnny Carson.
  • E. Buffalo Bill
    Buffalo Bill is the fictional serial killer antagonist in Thomas Harris's novel and its film adaptation "The Silence of the Lambs," known for murdering women and skinning them to create a "woman suit."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d8782b4819080513fb46798c4db completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.