Triple

T17400294
Position Surface form Disambiguated ID Type / Status
Subject Thomas Green Clemson E423067 entity
Predicate fullName P16 FINISHED
Object Thomas Green Clemson 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: Thomas Green Clemson | Statement: [Thomas Green Clemson, fullName, Thomas Green Clemson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Green Clemson
Context triple: [Thomas Green Clemson, fullName, Thomas Green Clemson]
  • A. Thomas Green Clemson chosen
    Thomas Green Clemson was a 19th-century American politician, diplomat, and agriculturalist whose bequest led to the creation of Clemson University in South Carolina.
  • B. Scott D. Sampson
    Scott D. Sampson is a Canadian paleontologist, author, and science communicator best known for his research on Late Cretaceous dinosaurs and for hosting the PBS Kids show "Dinosaur Train."
  • C. Lamar Edwards
    Lamar Edwards is an American hip-hop producer and songwriter known for his work on tracks like "Walk It Out."
  • D. Eric Holtz
    Eric Holtz is a film and television producer known for his work on the series "Home."
  • E. Clarence Weatherspoon
    Clarence Weatherspoon is a former American professional basketball player best known for his NBA career as a versatile forward during the 1990s and early 2000s.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac0596481908c400916d5c1b971 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.