Triple

T3175052
Position Surface form Disambiguated ID Type / Status
Subject My Romance E66441 entity
Predicate introducedBy P513 FINISHED
Object Gloria Grafton
Gloria Grafton was an American stage actress and singer active in early 20th-century musical theatre.
E342229 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: Gloria Grafton | Statement: [My Romance, introducedBy, Gloria Grafton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria Grafton
Context triple: [My Romance, introducedBy, Gloria Grafton]
  • A. Dorothy Auerbach
    Dorothy Auerbach was the wife of legendary Boston Celtics coach and executive Red Auerbach.
  • B. Beverly Gage
    Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
  • C. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • D. Carol J. Gallagher
    Carol J. Gallagher is an American Episcopal bishop known for her leadership in the church and as one of the first Indigenous women to serve in the Episcopal House of Bishops.
  • E. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • 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: Gloria Grafton
Triple: [My Romance, introducedBy, Gloria Grafton]
Generated description
Gloria Grafton was an American stage actress and singer active in early 20th-century musical theatre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria Grafton
Target entity description: Gloria Grafton was an American stage actress and singer active in early 20th-century musical theatre.
  • A. Dorothy Auerbach
    Dorothy Auerbach was the wife of legendary Boston Celtics coach and executive Red Auerbach.
  • B. Beverly Gage
    Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
  • C. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • D. Carol J. Gallagher
    Carol J. Gallagher is an American Episcopal bishop known for her leadership in the church and as one of the first Indigenous women to serve in the Episcopal House of Bishops.
  • E. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada671e6848190a683eec1519b9268 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28e4cdd2c8190a4b09e968b9d39be completed March 12, 2026, 9:58 a.m.
NEDg Description generation batch_69b28f6d8a948190b9aac1b90de472d6 completed March 12, 2026, 10:03 a.m.
NED2 Entity disambiguation (via description) batch_69b2c092063481909982dea3f71c00c1 completed March 12, 2026, 1:33 p.m.
Created at: March 8, 2026, 3:06 p.m.