Triple

T10390498
Position Surface form Disambiguated ID Type / Status
Subject Lockwood E244879 entity
Predicate hasMet P93950 FINISHED
Object Nelly Dean E244140 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: Nelly Dean | Statement: [Lockwood, hasMet, Nelly Dean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nelly Dean
Context triple: [Lockwood, hasMet, Nelly Dean]
  • A. Nelly Dean chosen
    Nelly Dean is the housekeeper whose detailed recollections form the central narrative framework of Emily Brontë’s novel "Wuthering Heights."
  • B. Malvina Reynolds
    Malvina Reynolds was an American folk singer-songwriter and political activist best known for her socially conscious songs like "Little Boxes" that became emblematic of the 1960s folk music revival.
  • C. Little Nellie Kelly
    Little Nellie Kelly is a 1940 musical film starring Judy Garland, known for its blend of romance, comedy, and Irish-American family drama.
  • D. Lilly Belle
    Lilly Belle is a steam locomotive that operates on the Walt Disney World Railroad at the Magic Kingdom theme park in Florida.
  • E. Johnny Belinda
    "Johnny Belinda" is a 1948 drama film best known for Jane Wyman’s Oscar-winning performance as a deaf-mute woman living in a small Nova Scotia fishing village.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fb99ef088190b64661b2f42c320e completed April 7, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d7fbae9a9c81908178fca68eb142b6 completed April 9, 2026, 7:19 p.m.
Created at: April 6, 2026, 12:05 p.m.