Triple

T16229531
Position Surface form Disambiguated ID Type / Status
Subject Flashdance E393941 entity
Predicate castMember P1668 FINISHED
Object Micole Mercurio
Micole Mercurio was an American character actress known for her supporting roles in films and television during the 1980s and 1990s.
E1200930 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: Micole Mercurio | Statement: [Flashdance, castMember, Micole Mercurio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micole Mercurio
Context triple: [Flashdance, castMember, Micole Mercurio]
  • A. Mia Serafino
    Mia Serafino is an American actress known for her work in film and television, including roles in independent movies and network sitcoms.
  • B. Angelica Galante
    Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • C. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • D. Mimi Reed
    Mimi Reed is a fictional character portrayed by Shari Headley, best known from the American soap opera "All My Children."
  • E. Ariel Nicoli
    Ariel Nicoli is one of the children of South African supermodel Candice Swanepoel.
  • 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: Micole Mercurio
Triple: [Flashdance, castMember, Micole Mercurio]
Generated description
Micole Mercurio was an American character actress known for her supporting roles in films and television during the 1980s and 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Micole Mercurio
Target entity description: Micole Mercurio was an American character actress known for her supporting roles in films and television during the 1980s and 1990s.
  • A. Mia Serafino
    Mia Serafino is an American actress known for her work in film and television, including roles in independent movies and network sitcoms.
  • B. Angelica Galante
    Angelica Galante was the mother of the renowned Italian Baroque sculptor and architect Gian Lorenzo Bernini.
  • C. Angelica Galante
    Angelica Galante is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
  • D. Mimi Reed
    Mimi Reed is a fictional character portrayed by Shari Headley, best known from the American soap opera "All My Children."
  • E. Ariel Nicoli
    Ariel Nicoli is one of the children of South African supermodel Candice Swanepoel.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d2889688190ac04e4e9479cabf4 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079e83f08190a260751fd8b55eef completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a00089a498c819092685d13f975e7cd completed May 10, 2026, 4:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0009042b288190b3a756354c04dfd3 completed May 10, 2026, 4:26 a.m.
Created at: April 10, 2026, 5:03 a.m.