Triple

T21671967
Position Surface form Disambiguated ID Type / Status
Subject Rodney E534870 entity
Predicate hasGivenNameForm P15846 FINISHED
Object Rodney (given name) 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: Rodney (given name) | Statement: [Rodney, hasGivenNameForm, Rodney (given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rodney (given name)
Context triple: [Rodney, hasGivenNameForm, Rodney (given name)]
  • A. Rodney
    Rodney is a character from the 1967 Disney fantasy film "The Gnome-Mobile," which follows the adventures of humans helping a family of gnomes in the modern world.
  • B. Rodney
    Rodney is the middle name of James R. Schlesinger, a prominent American economist and government official who served as U.S. Secretary of Defense and the first Secretary of Energy.
  • C. Rodney chosen
    Rodney is the given first name of Rod Thorn, an American former professional basketball player and longtime NBA executive.
  • D. Rodney
    Rodney is a surname most notably associated with George Brydges Rodney, an 18th-century British naval officer and admiral.
  • E. Rodney
    Rodney is a fictional character from the film "Baby Boy," serving as one of the supporting figures in the story’s exploration of relationships and maturity.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a0cd7648190b9981393f0b2bee9 completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:39 p.m.