Triple

T6320598
Position Surface form Disambiguated ID Type / Status
Subject Fat Sam E141726 entity
Predicate associatedWith P37 FINISHED
Object Tallulah E139273 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: Tallulah | Statement: [Fat Sam, associatedWith, Tallulah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tallulah
Context triple: [Fat Sam, associatedWith, Tallulah]
  • A. Tallulah
    Tallulah is a 2016 independent drama film starring Elliot Page as a drifter who impulsively kidnaps a neglected baby, exploring themes of responsibility, identity, and unconventional family.
  • B. Tallulah chosen
    Tallulah is a glamorous nightclub singer and love interest in the 1976 musical gangster film "Bugsy Malone."
  • C. Arletta
    Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
  • D. Tiffani
    Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
  • E. Claretta
    Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c61f008190b316b9ff1023b057 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48a8c5c819099f21fdff1ce43f3 completed March 27, 2026, 1:59 a.m.
Created at: March 22, 2026, 4:29 p.m.