Triple

T2662505
Position Surface form Disambiguated ID Type / Status
Subject Chick Hearn E54756 entity
Predicate spouse P13 FINISHED
Object Marjorie Hearn
Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
 E498868 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: Marjorie Hearn | Statement: [Chick Hearn, spouse, Marjorie Hearn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marjorie Hearn
Context triple: [Chick Hearn, spouse, Marjorie Hearn]
  • A. Marjorie Nelson
    Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
  • B. Marjorie Harvey
    Marjorie Harvey is an American fashion enthusiast, socialite, and entrepreneur best known as the wife of comedian and television host Steve Harvey and for her influential presence in fashion and lifestyle media.
  • C. Marjorie Content
    Marjorie Content was an American photographer and writer associated with early 20th-century modernist and literary circles.
  • D. Marjorie Hood
    Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
  • E. Marjorie Best
    Marjorie Best was an American costume designer known for her work in Hollywood films, including her Academy Award–winning designs.
  • 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: Marjorie Hearn
Triple: [Chick Hearn, spouse, Marjorie Hearn]
Generated description
Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marjorie Hearn
Target entity description: Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
  • A. Marjorie Nelson
    Marjorie Nelson was an American actress known for her work on stage and screen and for being married to fellow actor Howard Da Silva.
  • B. Marjorie Harvey
    Marjorie Harvey is an American fashion enthusiast, socialite, and entrepreneur best known as the wife of comedian and television host Steve Harvey and for her influential presence in fashion and lifestyle media.
  • C. Marjorie Content
    Marjorie Content was an American photographer and writer associated with early 20th-century modernist and literary circles.
  • D. Marjorie Hood
    Marjorie Hood was the first wife of American lyricist and playwright Alan Jay Lerner, known for her marriage to the celebrated Broadway writer.
  • E. Marjorie Best
    Marjorie Best was an American costume designer known for her work in Hollywood films, including her Academy Award–winning designs.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd969eff08190a206ad6424ba34d6 completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f0f4088190ba66d5e3c6642c9a completed March 21, 2026, 5:44 p.m.
NEDg Description generation batch_69bed99bf7408190b9d647612e097350 completed March 21, 2026, 5:47 p.m.
NED2 Entity disambiguation (via description) batch_69bed9b553008190a9a6309026598b6d completed March 21, 2026, 5:47 p.m.
Created at: March 6, 2026, 9:53 p.m.