Triple

T6262669
Position Surface form Disambiguated ID Type / Status
Subject Norman Taurog E140336 entity
Predicate directed P7373 FINISHED
Object Little Nellie Kelly E581037 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: Little Nellie Kelly | Statement: [Norman Taurog, directed, Little Nellie Kelly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Nellie Kelly
Context triple: [Norman Taurog, directed, Little Nellie Kelly]
  • A. Little Nellie Kelly chosen
    Little Nellie Kelly is a 1940 musical film starring Judy Garland, known for its blend of romance, comedy, and Irish-American family drama.
  • B. Nellie
    Nellie is the familiar nickname of Nellie Connally, the former First Lady of Texas who was riding in the car with President John F. Kennedy during his assassination in 1963.
  • C. Nellie Riley
    Nellie Riley was the longtime wife of legendary UCLA basketball coach John Wooden and an important personal influence throughout his life and career.
  • D. Nelly Dean
    Nelly Dean is the housekeeper whose detailed recollections form the central narrative framework of Emily Brontë’s novel "Wuthering Heights."
  • E. Nellie Bellflower
    Nellie Bellflower is an American actress and film producer best known for producing the acclaimed 2004 film "Finding Neverland."
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06387fec0819095b47a37b9402aa9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5192b99d4819083ab6e6f2092547b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:25 p.m.