Triple

T18638034
Position Surface form Disambiguated ID Type / Status
Subject Edgar Rice Burroughs' Tarzan stories E455605 entity
Predicate notableWork P4 FINISHED
Object Tarzan and the Lost Empire NE NERFINISHED

How this triple was built (3 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: Tarzan and the Lost Empire | Statement: [Edgar Rice Burroughs' Tarzan stories, notableWork, Tarzan and the Lost Empire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarzan and the Lost Empire
Context triple: [Edgar Rice Burroughs' Tarzan stories, notableWork, Tarzan and the Lost Empire]
  • A. Tarzan: Return to Pal-ul-don
    Tarzan: Return to Pal-ul-don is a pulp adventure novel that continues Edgar Rice Burroughs’ Tarzan saga, sending the jungle hero back to the prehistoric land of Pal-ul-don.
  • B. Tarzan Escapes
    Tarzan Escapes is a 1936 adventure film in the Tarzan series, starring Johnny Weissmuller as the iconic jungle hero.
  • C. Tarzan (2013 film)
    Tarzan (2013 film) is a 2013 computer-animated action-adventure adaptation of Edgar Rice Burroughs' classic jungle hero story, featuring Kellan Lutz as the voice of Tarzan.
  • D. Tarzan and the Lost City
    Tarzan and the Lost City is a 1998 adventure film adaptation of Edgar Rice Burroughs' jungle hero story, featuring Tarzan returning to Africa to protect a fabled city from treasure hunters.
  • E. The Legend of Tarzan
    The Legend of Tarzan is a 2016 action-adventure film that reimagines Edgar Rice Burroughs’ classic jungle hero as he returns to the Congo to confront a deadly conspiracy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tarzan and the Lost Empire
Target entity description: "Tarzan and the Lost Empire" is an adventure novel by Edgar Rice Burroughs in which Tarzan discovers a hidden remnant of ancient Roman civilization deep in Africa.
  • A. Tarzan: Return to Pal-ul-don
    Tarzan: Return to Pal-ul-don is a pulp adventure novel that continues Edgar Rice Burroughs’ Tarzan saga, sending the jungle hero back to the prehistoric land of Pal-ul-don.
  • B. Tarzan Escapes
    Tarzan Escapes is a 1936 adventure film in the Tarzan series, starring Johnny Weissmuller as the iconic jungle hero.
  • C. Tarzan (2013 film)
    Tarzan (2013 film) is a 2013 computer-animated action-adventure adaptation of Edgar Rice Burroughs' classic jungle hero story, featuring Kellan Lutz as the voice of Tarzan.
  • D. Tarzan and the Lost City
    Tarzan and the Lost City is a 1998 adventure film adaptation of Edgar Rice Burroughs' jungle hero story, featuring Tarzan returning to Africa to protect a fabled city from treasure hunters.
  • E. The Legend of Tarzan
    The Legend of Tarzan is a 2016 action-adventure film that reimagines Edgar Rice Burroughs’ classic jungle hero as he returns to the Congo to confront a deadly conspiracy.
  • F. None of above. chosen

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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc9fa6c81909e1b988bdfb5ebcc completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.