Triple

T6655070
Position Surface form Disambiguated ID Type / Status
Subject Tallulah Bankhead E150919 entity
Predicate givenName P17 FINISHED
Object Tallulah
Tallulah is a feminine given name most famously associated with the American stage and film actress Tallulah Bankhead.
E608653 NE FINISHED

How this triple was built (4 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: [Tallulah Bankhead, givenName, Tallulah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tallulah
Context triple: [Tallulah Bankhead, givenName, 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
    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. Marleigh
    Marleigh is a given name, typically a modern feminine variant of the name Marley.
  • E. Tiffani
    Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tallulah
Triple: [Tallulah Bankhead, givenName, Tallulah]
Generated description
Tallulah is a feminine given name most famously associated with the American stage and film actress Tallulah Bankhead.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tallulah
Target entity description: Tallulah is a feminine given name most famously associated with the American stage and film actress Tallulah Bankhead.
  • A. Tallulah
    Tallulah is a glamorous nightclub singer and love interest in the 1976 musical gangster film "Bugsy Malone."
  • B. 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.
  • 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. Marleigh
    Marleigh is a given name, typically a modern feminine variant of the name Marley.
  • E. Tiffani
    Tiffani is a given name, typically a modern variant of the name Tiffany used for girls.
  • F. None of above. chosen

Provenance (5 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b049958c8190bb3ef0d4c281825b completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefffdfc8190bc191606bdb481a5 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0d4780c81908e6c274c81d883a7 completed March 27, 2026, 9:04 p.m.
NED2 Entity disambiguation (via description) batch_69c6f15b7d848190815be600234461ba completed March 27, 2026, 9:06 p.m.
Created at: March 27, 2026, 2:01 p.m.