Triple

T11464968
Position Surface form Disambiguated ID Type / Status
Subject Street Scene E271755 entity
Predicate castMember P1668 FINISHED
Object Ann Kostant
Ann Kostant is an actress known for her role in the film "Street Scene."
 E927924 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: Ann Kostant | Statement: [Street Scene, castMember, Ann Kostant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ann Kostant
Context triple: [Street Scene, castMember, Ann Kostant]
  • A. Julie Costanzo
    Julie Costanzo is a film producer known for her work on Sofia Coppola’s acclaimed 1999 drama "The Virgin Suicides."
  • B. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • C. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • D. Diane Siegler
    Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
  • E. Marla Sokoloff
    Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
  • 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: Ann Kostant
Triple: [Street Scene, castMember, Ann Kostant]
Generated description
Ann Kostant is an actress known for her role in the film "Street Scene."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ann Kostant
Target entity description: Ann Kostant is an actress known for her role in the film "Street Scene."
  • A. Julie Costanzo
    Julie Costanzo is a film producer known for her work on Sofia Coppola’s acclaimed 1999 drama "The Virgin Suicides."
  • B. Ann Rosener
    Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
  • C. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • D. Diane Siegler
    Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
  • E. Marla Sokoloff
    Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e9377ff4819096971a77e0181eaf completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f1593c2c8190885f80ad5eeba3ec completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f87bbd988190ac388a3c34b2e95a completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:35 p.m.