Triple

T16826571
Position Surface form Disambiguated ID Type / Status
Subject Red Barber E409033 entity
Predicate spouse P13 FINISHED
Object Lylah Barber
Lylah Barber was the wife of famed American sportscaster Red Barber.
E1235092 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: Lylah Barber | Statement: [Red Barber, spouse, Lylah Barber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lylah Barber
Context triple: [Red Barber, spouse, Lylah Barber]
  • A. Lily Savage
    Lily Savage is a sharp-tongued, platinum-blonde drag queen character created and performed by British comedian Paul O’Grady, known for her acerbic wit and popularity on UK television in the 1990s.
  • B. Julia Faye
    Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
  • C. Tallulah Hoffman
    Tallulah Hoffman is the daughter of theater director and producer Mimi O'Donnell and the late actor Philip Seymour Hoffman.
  • D. LaBamba Rosenberg
    LaBamba Rosenberg is a trombonist and longtime member of Conan O'Brien's house band, The Max Weinberg 7.
  • E. Lila Garrett
    Lila Garrett was an American television producer, screenwriter, and political activist known for her work on socially conscious TV projects and her outspoken progressive views.
  • 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: Lylah Barber
Triple: [Red Barber, spouse, Lylah Barber]
Generated description
Lylah Barber was the wife of famed American sportscaster Red Barber.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lylah Barber
Target entity description: Lylah Barber was the wife of famed American sportscaster Red Barber.
  • A. Lily Savage
    Lily Savage is a sharp-tongued, platinum-blonde drag queen character created and performed by British comedian Paul O’Grady, known for her acerbic wit and popularity on UK television in the 1990s.
  • B. Julia Faye
    Julia Faye was an American actress best known for her frequent collaborations with director Cecil B. DeMille during the silent and early sound film eras.
  • C. Tallulah Hoffman
    Tallulah Hoffman is the daughter of theater director and producer Mimi O'Donnell and the late actor Philip Seymour Hoffman.
  • D. LaBamba Rosenberg
    LaBamba Rosenberg is a trombonist and longtime member of Conan O'Brien's house band, The Max Weinberg 7.
  • E. Lila Garrett
    Lila Garrett was an American television producer, screenwriter, and political activist known for her work on socially conscious TV projects and her outspoken progressive views.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b31404c88190a3b2802842ca77eb completed April 18, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29e48f881908489bd77a9caec97 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b3aafac08190b3e0181780f45392 completed May 10, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00b466ecd08190b7b5ee54476631ab completed May 10, 2026, 4:37 p.m.
Created at: April 10, 2026, 5:23 a.m.