Triple

T9426594
Position Surface form Disambiguated ID Type / Status
Subject Evermore E227276 entity
Predicate hasTrack P3284 FINISHED
Object Marjorie
"Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
 E803174 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 | Statement: [Evermore, hasTrack, Marjorie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marjorie
Context triple: [Evermore, hasTrack, Marjorie]
  • A. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • B. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • C. Geraldine
    Geraldine is a small rural service town in the South Island of New Zealand, known for its scenic surroundings and role as a gateway to the Canterbury high country.
  • D. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • E. Margaret Avery
    Margaret Avery is an American actress best known for her Academy Award–nominated performance as Shug Avery in the film adaptation of "The Color Purple."
  • 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
Triple: [Evermore, hasTrack, Marjorie]
Generated description
"Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marjorie
Target entity description: "Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
  • A. Marjorie
    Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
  • B. Geraldine
    Geraldine is a feminine given name of Germanic origin that has been borne by various notable figures, including actress Geraldine Chaplin.
  • C. Geraldine
    Geraldine is a small rural service town in the South Island of New Zealand, known for its scenic surroundings and role as a gateway to the Canterbury high country.
  • D. Mary Ruth
    Mary Ruth is a fictional character featured in the American television sitcom "The Debbie Reynolds Show."
  • E. Margaret Avery
    Margaret Avery is an American actress best known for her Academy Award–nominated performance as Shug Avery in the film adaptation of "The Color Purple."
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139d4e660819099ec1ffd6c8d3305 completed April 4, 2026, 4:18 p.m.
NEDg Description generation batch_69d13a8e79b081908d5b4dce125df678 completed April 4, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_69d13b1d2cb481908cdcbeb1a6c81794 completed April 4, 2026, 4:23 p.m.
Created at: March 30, 2026, 7:49 p.m.