Triple

T9317054
Position Surface form Disambiguated ID Type / Status
Subject Ferdinand Lopez E224148 entity
Predicate associatedWithCharacter P1481 FINISHED
Object Emily Wharton E235550 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: Emily Wharton | Statement: [Ferdinand Lopez, associatedWithCharacter, Emily Wharton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Wharton
Context triple: [Ferdinand Lopez, associatedWithCharacter, Emily Wharton]
  • A. Emily Wharton chosen
    Emily Wharton is the central protagonist of Anthony Trollope’s political novel "The Prime Minister," around whom the story’s social and romantic conflicts revolve.
  • B. Sarah Ward
    Sarah Ward is a British producer and the former wife of actor Tom Hardy.
  • C. Rosemary Forsyth
    Rosemary Forsyth is a Canadian-born American actress best known for her roles in 1960s and 1970s films and television dramas.
  • D. Elizabeth Shewell
    Elizabeth Shewell was the wife of Anglo-American painter Benjamin West and a member of a prominent Philadelphia Quaker family in the 18th century.
  • E. Mary Walton
    Mary Walton was a 19th-century American inventor and environmentalist known for pioneering pollution-reducing technologies for railroads and factories.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd35899b9081908bb0c310cc25722f completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1525bd4e88190a62e5e383d1e786b completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:38 p.m.