Triple

T15901247
Position Surface form Disambiguated ID Type / Status
Subject Lewis Burwell "Chesty" Puller E385592 entity
Predicate familyName P18 FINISHED
Object Puller E385592 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: Puller | Statement: [Lewis Burwell "Chesty" Puller, familyName, Puller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puller
Context triple: [Lewis Burwell "Chesty" Puller, familyName, Puller]
  • A. Puller chosen
    Puller is a surname most prominently associated with the decorated U.S. Marine Corps officer Lewis B. "Chesty" Puller and his family.
  • B. Grabler
    Grabler is a surname of likely Germanic origin associated with individuals such as Maria Magdalena Grabler.
  • C. Pelt
    Pelt is a municipality in the Belgian province of Limburg, formed by the merger of Neerpelt and Overpelt and known for its green landscapes and residential character.
  • D. Pelt
    Pelt is an American experimental folk and drone band known for its improvisational, minimalist soundscapes and use of traditional acoustic instruments.
  • E. Pulver
    Pulver is a surname most notably associated with English actress Lara Pulver, known for her roles in television series such as "Sherlock" and "Spooks."
  • 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563db01081908dd94a2536ef2107 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb04f3ea08190b5581768770677e8 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.