Triple

T20955748
Position Surface form Disambiguated ID Type / Status
Subject Krik? Krak! E516095 entity
Predicate hasPart P35 FINISHED
Object New York Day Women
"New York Day Women" is a short story by Edwidge Danticat that explores the complex relationship between a Haitian immigrant mother and her American-born daughter in New York City.
E1459607 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: New York Day Women | Statement: [Krik? Krak!, hasPart, New York Day Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York Day Women
Context triple: [Krik? Krak!, hasPart, New York Day Women]
  • A. Day, New York
    Day, New York is a small rural town in Saratoga County known for its scenic Adirondack setting along the shores of the Great Sacandaga Lake.
  • B. New York Girls
    "New York Girls" is a track by the American punk rock band At Large.
  • C. Manhattan Woman
    "Manhattan Woman" is the B-side track to the song "In the Navy" by the disco group Village People.
  • D. New Yorkers
    New Yorkers is a collection of short stories by Bai Xianyong that portrays the lives and emotional struggles of Chinese immigrants and expatriates in New York City.
  • E. The New Yorkers
    The New Yorkers is a 1930 Broadway musical comedy with a score by Cole Porter, known for its satirical take on Prohibition-era New York high society.
  • 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: New York Day Women
Triple: [Krik? Krak!, hasPart, New York Day Women]
Generated description
"New York Day Women" is a short story by Edwidge Danticat that explores the complex relationship between a Haitian immigrant mother and her American-born daughter in New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: New York Day Women
Target entity description: "New York Day Women" is a short story by Edwidge Danticat that explores the complex relationship between a Haitian immigrant mother and her American-born daughter in New York City.
  • A. Day, New York
    Day, New York is a small rural town in Saratoga County known for its scenic Adirondack setting along the shores of the Great Sacandaga Lake.
  • B. New York Girls
    "New York Girls" is a track by the American punk rock band At Large.
  • C. Manhattan Woman
    "Manhattan Woman" is the B-side track to the song "In the Navy" by the disco group Village People.
  • D. New Yorkers
    New Yorkers is a collection of short stories by Bai Xianyong that portrays the lives and emotional struggles of Chinese immigrants and expatriates in New York City.
  • E. The New Yorkers
    The New Yorkers is a 1930 Broadway musical comedy with a score by Cole Porter, known for its satirical take on Prohibition-era New York high society.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6b19048190b266ed24f6fc1a97 completed April 21, 2026, 4:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a092794c7d08190a2b8146a2379b7bd completed May 17, 2026, 2:27 a.m.
NEDg Description generation batch_6a0928b4be448190bd862c8f971e61d9 completed May 17, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0929734a5c8190911e54b601118bae completed May 17, 2026, 2:35 a.m.
Created at: April 16, 2026, 1:28 p.m.