Triple

T12483623
Position Surface form Disambiguated ID Type / Status
Subject Diane Arbus E298374 entity
Predicate influencedBy P9 FINISHED
Object Lisette Model
Lisette Model was an Austrian-born American photographer renowned for her candid, often unflattering street portraits that profoundly shaped postwar documentary and art photography.
 E985714 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: Lisette Model | Statement: [Diane Arbus, influencedBy, Lisette Model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lisette Model
Context triple: [Diane Arbus, influencedBy, Lisette Model]
  • A. La Modelo
    "La Modelo" is a popular reggaeton and Latin trap song by Puerto Rican artist Ozuna, known for its smooth blend of urban and Caribbean rhythms.
  • B. Lisette
    Lisette is a character in Giacomo Puccini's opera "La rondine," serving as the maid and comic counterpart to the heroine, Magda.
  • C. Lizette
    Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
  • D. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • E. Lucile
    Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
  • 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: Lisette Model
Triple: [Diane Arbus, influencedBy, Lisette Model]
Generated description
Lisette Model was an Austrian-born American photographer renowned for her candid, often unflattering street portraits that profoundly shaped postwar documentary and art photography.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lisette Model
Target entity description: Lisette Model was an Austrian-born American photographer renowned for her candid, often unflattering street portraits that profoundly shaped postwar documentary and art photography.
  • A. La Modelo
    "La Modelo" is a popular reggaeton and Latin trap song by Puerto Rican artist Ozuna, known for its smooth blend of urban and Caribbean rhythms.
  • B. Lisette
    Lisette is a character in Giacomo Puccini's opera "La rondine," serving as the maid and comic counterpart to the heroine, Magda.
  • C. Lizette
    Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
  • D. Lucile
    Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
  • E. Lucile
    Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94ddf0b6c8190aff4fe267d8f6efe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f6437e88c881909b7f1d55c11b0825 completed May 2, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69f644464c0c8190a8d4ea4914d32e7f completed May 2, 2026, 6:36 p.m.
Created at: April 8, 2026, 9:56 p.m.