Triple
T13191480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Knechtges |
E313997
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lysistrata Jones
Lysistrata Jones is a modern musical comedy, loosely based on Aristophanes' "Lysistrata," about a college cheerleader who leads a sex strike to inspire her school's losing basketball team.
|
E1027312
|
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: Lysistrata Jones | Statement: [Dan Knechtges, notableWork, Lysistrata Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lysistrata Jones Context triple: [Dan Knechtges, notableWork, Lysistrata Jones]
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Liza
Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
-
C.
Licia
Licia is a shortened or diminutive form of the given name Felicia.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Tanaquil
Tanaquil was a celebrated American ballerina and principal dancer with the New York City Ballet, renowned for her collaborations with George Balanchine in the mid-20th century.
- 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: Lysistrata Jones Triple: [Dan Knechtges, notableWork, Lysistrata Jones]
Generated description
Lysistrata Jones is a modern musical comedy, loosely based on Aristophanes' "Lysistrata," about a college cheerleader who leads a sex strike to inspire her school's losing basketball team.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lysistrata Jones Target entity description: Lysistrata Jones is a modern musical comedy, loosely based on Aristophanes' "Lysistrata," about a college cheerleader who leads a sex strike to inspire her school's losing basketball team.
-
A.
Liza
Liza is a feminine given name most famously associated with American actress and singer Liza Minnelli.
-
B.
Liza
Liza is a central tragic heroine in Alexander Pushkin’s short story "The Queen of Spades," whose ill-fated love and entanglement with gambling intrigue drive much of the plot.
-
C.
Licia
Licia is a shortened or diminutive form of the given name Felicia.
-
D.
Adrienne
Adrienne is a feminine given name of French origin, commonly used in English- and French-speaking countries.
-
E.
Tanaquil
Tanaquil was a celebrated American ballerina and principal dancer with the New York City Ballet, renowned for her collaborations with George Balanchine in the mid-20th century.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c600ab48190bcf84aaf5846fb4b |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5fef9e48190961d66ebcc1df11f |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f80b420c8190b5028be4fa99fb59 |
completed | May 3, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f89072a88190b3182f581b1b6762 |
completed | May 3, 2026, 7:26 a.m. |
Created at: April 9, 2026, 9:15 p.m.