Triple

T15941129
Position Surface form Disambiguated ID Type / Status
Subject Patina Miller E386562 entity
Predicate givenName P17 FINISHED
Object Patina
Patina is an American actress and singer best known for her work in musical theatre and television, including her Tony Award–winning performance in "Pippin."
E1184636 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: Patina | Statement: [Patina Miller, givenName, Patina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patina
Context triple: [Patina Miller, givenName, Patina]
  • A. Pearlstine
    Pearlstine is a surname most notably associated with American journalist and media executive Norman Pearlstine.
  • B. The Bronze
    The Bronze is a dark comedy film starring Melissa Rauch as a foul-mouthed former gymnastics star struggling with faded fame and reluctant mentorship.
  • C. Starina
    Starina is the flamboyant drag stage persona of Albert Goldman in the film "The Birdcage."
  • D. Cortenova
    Cortenova is a small municipality in the Valsassina valley of the Lombardy region in northern Italy.
  • E. Taliedo
    Taliedo is a district in Milan, Italy, historically known for its aviation industry and the Caproni aircraft manufacturing facilities.
  • 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: Patina
Triple: [Patina Miller, givenName, Patina]
Generated description
Patina is an American actress and singer best known for her work in musical theatre and television, including her Tony Award–winning performance in "Pippin."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Patina
Target entity description: Patina is an American actress and singer best known for her work in musical theatre and television, including her Tony Award–winning performance in "Pippin."
  • A. Pearlstine
    Pearlstine is a surname most notably associated with American journalist and media executive Norman Pearlstine.
  • B. The Bronze
    The Bronze is a dark comedy film starring Melissa Rauch as a foul-mouthed former gymnastics star struggling with faded fame and reluctant mentorship.
  • C. Starina
    Starina is the flamboyant drag stage persona of Albert Goldman in the film "The Birdcage."
  • D. Cortenova
    Cortenova is a small municipality in the Valsassina valley of the Lombardy region in northern Italy.
  • E. Taliedo
    Taliedo is a district in Milan, Italy, historically known for its aviation industry and the Caproni aircraft manufacturing facilities.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5bbc07c819098fd768e2e6b5b3e completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb706eb348190baba254656fc0e71 completed May 9, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7812bf08190918c1410565633e2 completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:53 a.m.