Triple

T15033336
Position Surface form Disambiguated ID Type / Status
Subject Flea E378410 entity
Predicate spouse P13 FINISHED
Object Melody Ehsani
Melody Ehsani is a Los Angeles–based designer and entrepreneur known for her bold, streetwear-inspired jewelry and fashion collaborations.
E1133446 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: Melody Ehsani | Statement: [Flea, spouse, Melody Ehsani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melody Ehsani
Context triple: [Flea, spouse, Melody Ehsani]
  • A. Sia Alipour
    Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
  • B. Zahra Sadeghi
    Zahra Sadeghi is an Iranian figure best known as the wife of former Iranian president Mohammad Khatami.
  • C. Niki Karimi
    Niki Karimi is a prominent Iranian actress, director, and screenwriter known for her influential role in contemporary Iranian cinema and her award-winning performances and films.
  • D. Soraya Nazarian
    Soraya Nazarian is an Iranian-born American sculptor and philanthropist known for her cultural and educational contributions, particularly within the Jewish and Israeli communities.
  • E. Elika J. Etemad
    Elika J. Etemad, also known as "fantasai," is a prominent web standards expert and specification editor heavily involved in the development of CSS for the World Wide Web Consortium (W3C).
  • 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: Melody Ehsani
Triple: [Flea, spouse, Melody Ehsani]
Generated description
Melody Ehsani is a Los Angeles–based designer and entrepreneur known for her bold, streetwear-inspired jewelry and fashion collaborations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Melody Ehsani
Target entity description: Melody Ehsani is a Los Angeles–based designer and entrepreneur known for her bold, streetwear-inspired jewelry and fashion collaborations.
  • A. Sia Alipour
    Sia Alipour is an actor known for his role in the Iranian television series "Tehran."
  • B. Zahra Sadeghi
    Zahra Sadeghi is an Iranian figure best known as the wife of former Iranian president Mohammad Khatami.
  • C. Niki Karimi
    Niki Karimi is a prominent Iranian actress, director, and screenwriter known for her influential role in contemporary Iranian cinema and her award-winning performances and films.
  • D. Soraya Nazarian
    Soraya Nazarian is an Iranian-born American sculptor and philanthropist known for her cultural and educational contributions, particularly within the Jewish and Israeli communities.
  • E. Elika J. Etemad
    Elika J. Etemad, also known as "fantasai," is a prominent web standards expert and specification editor heavily involved in the development of CSS for the World Wide Web Consortium (W3C).
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e3a7c8819081f26c2435c1bcb2 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dddd0208190b2dac7a078de2931 completed May 9, 2026, 2:37 a.m.
NEDg Description generation batch_69fe9f58e39081909be07cda05484fb3 completed May 9, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_69fe9ff62eb081908e170e099c99283b completed May 9, 2026, 2:46 a.m.
Created at: April 10, 2026, 2:59 a.m.