Triple

T8949783
Position Surface form Disambiguated ID Type / Status
Subject William Thacker E213315 entity
Predicate loveInterest P7325 FINISHED
Object Anna Scott E207412 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: Anna Scott | Statement: [William Thacker, loveInterest, Anna Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Scott
Context triple: [William Thacker, loveInterest, Anna Scott]
  • A. Anna Scott chosen
    Anna Scott is a famous American movie star who becomes romantically involved with a shy British bookseller in the romantic comedy film "Notting Hill."
  • B. Elizabeth Preston
    Elizabeth Preston is known primarily as the wife of American Founding Father and statesman James Wilson.
  • C. Grace Allerton
    Grace Allerton was a member of the early 17th-century Allerton family associated with the Pilgrim settlers of Plymouth Colony.
  • D. Margaret Carter
    Margaret "Peggy" Carter is a British intelligence officer and prominent Marvel Comics and Marvel Cinematic Universe character known for her World War II work alongside Captain America and her later role in founding S.H.I.E.L.D.
  • E. Elisabeth Scott
    Elisabeth Scott was a pioneering British architect best known for designing the modernist Royal Shakespeare Theatre in Stratford-upon-Avon.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc670b5f50819080f1c73992fe5281 completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc206550c8190abf016f25b14fa64 completed April 3, 2026, 1:35 p.m.
Created at: March 30, 2026, 6:59 p.m.