Triple

T5349536
Position Surface form Disambiguated ID Type / Status
Subject The Opposite Sex E124140 entity
Predicate stars P1956 FINISHED
Object Dolores Gray
Dolores Gray was an American actress and singer known for her powerful voice and performances in mid-20th-century Broadway musicals and Hollywood films.
 E525413 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: Dolores Gray | Statement: [The Opposite Sex, stars, Dolores Gray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dolores Gray
Context triple: [The Opposite Sex, stars, Dolores Gray]
  • A. Mary Haines
    Mary Haines is the gracious, upper-class New York wife and mother whose marital troubles and friendships drive the plot of the 1939 film "The Women."
  • B. Dolores Solitano
    Dolores Solitano is a supporting character in the film "Silver Linings Playbook," known as the caring but anxious mother of protagonist Pat Solitano.
  • C. Nancy Grey
    Nancy Grey is a fictional character from the film "Red Dog," contributing to the story’s emotional depth and relationships surrounding the legendary kelpie.
  • D. Hattie Glascoe
    Hattie Glascoe was the first wife of American actor Louis Gossett Jr., known primarily for her brief marriage to him in the 1960s.
  • E. Thelma Connell
    Thelma Connell was a British film editor known for her work on numerous mid-20th-century films.
  • 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: Dolores Gray
Triple: [The Opposite Sex, stars, Dolores Gray]
Generated description
Dolores Gray was an American actress and singer known for her powerful voice and performances in mid-20th-century Broadway musicals and Hollywood films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dolores Gray
Target entity description: Dolores Gray was an American actress and singer known for her powerful voice and performances in mid-20th-century Broadway musicals and Hollywood films.
  • A. Mary Haines
    Mary Haines is the gracious, upper-class New York wife and mother whose marital troubles and friendships drive the plot of the 1939 film "The Women."
  • B. Dolores Solitano
    Dolores Solitano is a supporting character in the film "Silver Linings Playbook," known as the caring but anxious mother of protagonist Pat Solitano.
  • C. Nancy Grey
    Nancy Grey is a fictional character from the film "Red Dog," contributing to the story’s emotional depth and relationships surrounding the legendary kelpie.
  • D. Hattie Glascoe
    Hattie Glascoe was the first wife of American actor Louis Gossett Jr., known primarily for her brief marriage to him in the 1960s.
  • E. Thelma Connell
    Thelma Connell was a British film editor known for her work on numerous mid-20th-century films.
  • 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_69bd464be27081908807b40b75c1bbae completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd860ea7088190ad7be14132927d17 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf8bc6c2d08190b3b83504b7a3fbcb completed March 22, 2026, 6:27 a.m.
NEDg Description generation batch_69bf8d7cab5081909965891204b32f28 completed March 22, 2026, 6:34 a.m.
NED2 Entity disambiguation (via description) batch_69bf8dc268208190a84a7986be13a249 completed March 22, 2026, 6:35 a.m.
Created at: March 20, 2026, 2:01 p.m.