Triple

T20118340
Position Surface form Disambiguated ID Type / Status
Subject Melanie E490528 entity
Predicate birthName P65 FINISHED
Object Melanie Anne Safka
Melanie Anne Safka is an American singer-songwriter best known for her 1970s folk-pop hits such as "Brand New Key" and her performance at Woodstock.
E1411110 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: Melanie Anne Safka | Statement: [Melanie, birthName, Melanie Anne Safka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melanie Anne Safka
Context triple: [Melanie, birthName, Melanie Anne Safka]
  • A. Melanie Miller
    Melanie Miller is a film and television producer known for her work on projects such as the documentary "Navalny."
  • B. Melanie Holland
    Melanie Holland is the central protagonist of the novel "Strong Motion," around whom the story’s personal and environmental crises unfold.
  • C. Melanie
    Melanie is a supporting character in the comedy film "Grumpy Old Men," involved in the small-town relationships and humorous conflicts that drive the story.
  • D. Melanie
    Melanie is a feminine given name commonly used in various countries and languages.
  • E. Melanie
    Melanie is a central character in Anita Desai’s novel "Fasting, Feasting," whose experiences reflect the constraints and expectations placed on women within a traditional Indian family.
  • 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: Melanie Anne Safka
Triple: [Melanie, birthName, Melanie Anne Safka]
Generated description
Melanie Anne Safka is an American singer-songwriter best known for her 1970s folk-pop hits such as "Brand New Key" and her performance at Woodstock.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melanie Anne Safka
Target entity description: Melanie Anne Safka is an American singer-songwriter best known for her 1970s folk-pop hits such as "Brand New Key" and her performance at Woodstock.
  • A. Melanie Miller
    Melanie Miller is a film and television producer known for her work on projects such as the documentary "Navalny."
  • B. Melanie Holland
    Melanie Holland is the central protagonist of the novel "Strong Motion," around whom the story’s personal and environmental crises unfold.
  • C. Melanie
    Melanie is a feminine given name commonly used in various countries and languages.
  • D. Melanie
    Melanie is a supporting character in the comedy film "Grumpy Old Men," involved in the small-town relationships and humorous conflicts that drive the story.
  • E. Melanie
    Melanie is the given first name of British actress Thandiwe Newton, who was previously credited professionally as Thandie Newton.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673c32bc8190a52875961fbcc5e2 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08271de03c81908f669f712ca1233a completed May 16, 2026, 8:13 a.m.
NEDg Description generation batch_6a08280f9e70819091682323b55ca855 completed May 16, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_6a08288d98fc8190a146f43a027682f0 completed May 16, 2026, 8:19 a.m.
Created at: April 11, 2026, 11:30 p.m.