Triple

T1129829
Position Surface form Disambiguated ID Type / Status
Subject Rebecca Miller E23002 entity
Predicate notableWork P4 FINISHED
Object A Woman Who
A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
E129950 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: A Woman Who | Statement: [Rebecca Miller, notableWork, A Woman Who]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Woman Who
Context triple: [Rebecca Miller, notableWork, A Woman Who]
  • A. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • B. A Woman's Worth
    "A Woman's Worth" is a soulful R&B ballad by Alicia Keys that celebrates female value and respect, released as a single from her debut album "Songs in A Minor."
  • C. One Man’s Woman
    "One Man’s Woman" is a song by American country music artist Kenny Rogers.
  • D. Two Ladies
    Two Ladies is the joint title given to the ancient Egyptian goddesses Wadjet and Nekhbet, who together served as protective patron deities of unified Egypt.
  • E. Madam
    "Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
  • 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: A Woman Who
Triple: [Rebecca Miller, notableWork, A Woman Who]
Generated description
A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A Woman Who
Target entity description: A Woman Who is a creative work by American filmmaker and author Rebecca Miller, known for her introspective, character-driven storytelling.
  • A. This Woman
    "This Woman" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark."
  • B. A Woman's Worth
    "A Woman's Worth" is a soulful R&B ballad by Alicia Keys that celebrates female value and respect, released as a single from her debut album "Songs in A Minor."
  • C. One Man’s Woman
    "One Man’s Woman" is a song by American country music artist Kenny Rogers.
  • D. Two Ladies
    Two Ladies is the joint title given to the ancient Egyptian goddesses Wadjet and Nekhbet, who together served as protective patron deities of unified Egypt.
  • E. Madam
    "Madam" is a formal term of address for a woman, often used to show respect or politeness in social, professional, or official contexts.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbf979108190adad7073c8275dd2 completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59a82bb8819084f77aff9af653c0 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a97f1408190855d8ea4f4317b07 completed March 7, 2026, 5:04 p.m.
NED2 Entity disambiguation (via description) batch_69ac5b1b5930819098f511db269e991d completed March 7, 2026, 5:06 p.m.
Created at: March 1, 2026, 7:44 p.m.