Triple

T9283492
Position Surface form Disambiguated ID Type / Status
Subject Tarzan films E223127 entity
Predicate hasCharacter P2308 FINISHED
Object Jane Porter E455604 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: Jane Porter | Statement: [Tarzan films, hasCharacter, Jane Porter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Porter
Context triple: [Tarzan films, hasCharacter, Jane Porter]
  • A. Jane Porter chosen
    Jane Porter is a fictional Englishwoman who serves as Tarzan’s intelligent and courageous love interest and companion in various adaptations of the Tarzan stories, including the film "Tarzan and the Lost City."
  • B. Frederica Vernon
    Frederica Vernon is a central young character in Jane Austen’s novella "Lady Susan," portrayed as the gentle, morally upright daughter whose sincerity contrasts sharply with her manipulative mother.
  • C. Elizabeth Yonge
    Elizabeth Yonge was the wife of British Army officer and colonial administrator Sir John Colborne, later Lord Seaton.
  • D. Elizabeth Heywood
    Elizabeth Heywood was the mother of the English poet and cleric John Donne and a member of a prominent recusant Catholic family in Elizabethan England.
  • E. Elizabeth Davis
    Elizabeth Davis is an American academic leader and administrator who serves as the president of Furman University.
  • 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_69ca842123588190b3f2e1a69037d141 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd081e72988190917f425e64631837 completed April 1, 2026, 11:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b2134d408190b21c7dc642549fe4 completed April 4, 2026, 6:39 a.m.
Created at: March 30, 2026, 7:34 p.m.