Triple

T16895103
Position Surface form Disambiguated ID Type / Status
Subject Laura Benanti E424277 entity
Predicate notableRole P22 FINISHED
Object Louise in Gypsy
Louise in Gypsy is the shy, overlooked daughter who transforms into the confident burlesque star Gypsy Rose Lee in the classic Broadway musical "Gypsy."
E1240018 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: Louise in Gypsy | Statement: [Laura Benanti, notableRole, Louise in Gypsy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louise in Gypsy
Context triple: [Laura Benanti, notableRole, Louise in Gypsy]
  • A. Judy
    Judy is the familiar nickname of Judy Agnew, who was the Second Lady of the United States during Spiro Agnew’s vice presidency.
  • B. Judy
    Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
  • C. Judy
    "Judy" is a multimedia artwork by American contemporary artist Tony Oursler, known for its experimental use of video projection and sculptural elements to explore psychological and technological themes.
  • D. Judy
    Judy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Judith.
  • E. Judy
    Judy is a central character in the 1963 teen drama film "It's My Party," around whom much of the story’s emotional conflict revolves.
  • 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: Louise in Gypsy
Triple: [Laura Benanti, notableRole, Louise in Gypsy]
Generated description
Louise in Gypsy is the shy, overlooked daughter who transforms into the confident burlesque star Gypsy Rose Lee in the classic Broadway musical "Gypsy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Louise in Gypsy
Target entity description: Louise in Gypsy is the shy, overlooked daughter who transforms into the confident burlesque star Gypsy Rose Lee in the classic Broadway musical "Gypsy."
  • A. Judy
    Judy is the familiar nickname of Judy Agnew, who was the Second Lady of the United States during Spiro Agnew’s vice presidency.
  • B. Judy
    Judy is a supporting character in the 1990 remake of the horror film "Night of the Living Dead," appearing as one of the survivors trapped in a farmhouse during a zombie outbreak.
  • C. Judy
    Judy was the Allied reporting name for the Japanese Yokosuka D4Y carrier-based dive bomber used by the Imperial Japanese Navy during World War II.
  • D. Judy
    Judy is a feminine given name commonly used in English-speaking countries, often as a diminutive of Judith.
  • E. Judy
    Judy is a character in the 2014 British apocalyptic comedy film "The Second Coming."
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8d7aec88190888f13601acbcd77 completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7aa83bc8190832d2f3903ce0081 completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c8b9e4888190b25dd3256fc13dd1 completed May 10, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a00c9672ab881909770b4fe551ec622 completed May 10, 2026, 6:07 p.m.
Created at: April 10, 2026, 5:29 a.m.