Triple
T1070478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liza Minnelli |
E23314
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Liza with a Z
Liza with a Z is a 1972 television concert film and musical special starring Liza Minnelli, renowned for its dynamic song-and-dance performances and direction by Bob Fosse.
|
E126752
|
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: Liza with a Z | Statement: [Liza Minnelli, notableWork, Liza with a Z]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liza with a Z Context triple: [Liza Minnelli, notableWork, Liza with a Z]
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
-
C.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
D.
Prima Donna
Prima Donna is an American rock band known for its glam-punk style and energetic live performances.
-
E.
Between Riverside and Crazy
"Between Riverside and Crazy" is a Pulitzer Prize–winning dark comedy-drama play by Stephen Adly Guirgis that explores race, family, and gentrification through the story of a retired New York City cop fighting eviction from his rent-controlled apartment.
- 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: Liza with a Z Triple: [Liza Minnelli, notableWork, Liza with a Z]
Generated description
Liza with a Z is a 1972 television concert film and musical special starring Liza Minnelli, renowned for its dynamic song-and-dance performances and direction by Bob Fosse.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liza with a Z Target entity description: Liza with a Z is a 1972 television concert film and musical special starring Liza Minnelli, renowned for its dynamic song-and-dance performances and direction by Bob Fosse.
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Julie
Julie is a feminine given name of Latin origin, commonly used in many Western countries.
-
C.
Lulu
Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
-
D.
Prima Donna
Prima Donna is an American rock band known for its glam-punk style and energetic live performances.
-
E.
Between Riverside and Crazy
"Between Riverside and Crazy" is a Pulitzer Prize–winning dark comedy-drama play by Stephen Adly Guirgis that explores race, family, and gentrification through the story of a retired New York City cop fighting eviction from his rent-controlled apartment.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92848148190ba8795cb8d0a1d0a |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c1fb7948190b08c95e68d3de00e |
completed | March 7, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69ac4e9e68688190a02550b270660a50 |
completed | March 7, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac4f2475048190a5e58bf8320e91d4 |
completed | March 7, 2026, 4:15 p.m. |
Created at: March 1, 2026, 7:42 p.m.