Triple

T4863978
Position Surface form Disambiguated ID Type / Status
Subject Marlee Matlin E108723 entity
Predicate hasWritten P2831 FINISHED
Object Leading Ladies
"Leading Ladies" is a memoir by Academy Award–winning deaf actress Marlee Matlin that chronicles her life, career, and advocacy.
 E475562 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: Leading Ladies | Statement: [Marlee Matlin, hasWritten, Leading Ladies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Leading Ladies
Context triple: [Marlee Matlin, hasWritten, Leading Ladies]
  • A. Glamorous Glennis
    Glamorous Glennis was the name Chuck Yeager gave to several of his aircraft, most famously the Bell X-1 rocket plane in which he first broke the sound barrier.
  • B. Ladies
    The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • C. Queen of the Movies
    Queen of the Movies is the famous nickname of silent film star Mary Pickford, reflecting her status as one of early Hollywood’s most beloved and influential actresses.
  • D. Gloria
    Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
  • E. Gloria
    Gloria is an American sitcom centered on Gloria Stivic, the daughter from "All in the Family," as she navigates life as a single mother.
  • 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: Leading Ladies
Triple: [Marlee Matlin, hasWritten, Leading Ladies]
Generated description
"Leading Ladies" is a memoir by Academy Award–winning deaf actress Marlee Matlin that chronicles her life, career, and advocacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Leading Ladies
Target entity description: "Leading Ladies" is a memoir by Academy Award–winning deaf actress Marlee Matlin that chronicles her life, career, and advocacy.
  • A. Glamorous Glennis
    Glamorous Glennis was the name Chuck Yeager gave to several of his aircraft, most famously the Bell X-1 rocket plane in which he first broke the sound barrier.
  • B. Ladies
    The Ladies are the women's athletic teams representing Centenary College of Louisiana in intercollegiate sports.
  • C. Queen of the Movies
    Queen of the Movies is the famous nickname of silent film star Mary Pickford, reflecting her status as one of early Hollywood’s most beloved and influential actresses.
  • D. Gloria
    Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
  • E. Gloria
    Gloria is an American sitcom centered on Gloria Stivic, the daughter from "All in the Family," as she navigates life as a single mother.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d7718e48190af4c0d1abfa87795 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cfdb3248190a16a5f3fb97d4950 completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be607df6648190be22b5bc0d6531b4 completed March 21, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69be611da7c08190b644cfbcb30741fc completed March 21, 2026, 9:13 a.m.
Created at: March 20, 2026, 1:26 p.m.