Triple

T17697954
Position Surface form Disambiguated ID Type / Status
Subject Dr. Clayton Forrester E441220 entity
Predicate romanticInterest P7325 FINISHED
Object Sylvia Van Buren 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: Sylvia Van Buren | Statement: [Dr. Clayton Forrester, romanticInterest, Sylvia Van Buren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Van Buren
Context triple: [Dr. Clayton Forrester, romanticInterest, Sylvia Van Buren]
  • A. Sylvia Van Buren chosen
    Sylvia Van Buren is the female lead and love interest in the 1953 science fiction film adaptation of H.G. Wells' "The War of the Worlds."
  • B. Mabel Van Buren
    Mabel Van Buren was an American stage and silent film actress active in the early 20th century.
  • C. Anna van Buren
    Anna van Buren, born Anna van Egmond, was a 16th-century Dutch noblewoman best known as the first wife of William of Orange (William the Silent).
  • D. Hannah Van Buren
    Hannah Van Buren was the wife of eighth U.S. President Martin Van Buren and served as an unofficial First Lady before her early death, after which her daughter-in-law Angelica Singleton Van Buren assumed the role.
  • E. Anita Van Buren
    Anita Van Buren is a long-serving, no-nonsense NYPD lieutenant on the television series "Law & Order," known for supervising the homicide detectives with authority and integrity.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.