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.