Triple

T21634000
Position Surface form Disambiguated ID Type / Status
Subject Tarzan the Ape Man (1932 film) E533906 entity
Predicate character P662 FINISHED
Object James Parker 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: James Parker | Statement: [Tarzan the Ape Man (1932 film), character, James Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Parker
Context triple: [Tarzan the Ape Man (1932 film), character, James Parker]
  • A. James Parker chosen
    James Parker is a central character in the 1981 adventure film "Tarzan, the Ape Man," typically portrayed as an explorer and father figure whose expedition into the African jungle sets the story in motion.
  • B. James Parker
    James Parker was a British Labour politician and trade unionist active in the early 20th century.
  • C. Michael Parker
    Michael Parker is a film editor best known for his work on the British comedy-drama "Made in Dagenham."
  • D. Michael Parker
    Michael Parker is a literary scholar and editor known for his work on classic novels such as Edith Wharton's "The House of Mirth."
  • E. Michael Parker
    Michael Parker is a professional basketball player best known for his standout career in Japan’s B.League, where he became one of the league’s most prolific scorers and an influential import for teams such as the Chiba Jets Funabashi.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef52192e388190a3f316e33f452561 completed April 27, 2026, 12:10 p.m.
Created at: April 16, 2026, 6:35 p.m.