Triple
T12242898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La rondine |
E291778
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Lisette
Lisette is a character in Giacomo Puccini's opera "La rondine," serving as the maid and comic counterpart to the heroine, Magda.
|
E980760
|
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: Lisette | Statement: [La rondine, mainCharacter, Lisette]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisette Context triple: [La rondine, mainCharacter, Lisette]
-
A.
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
-
B.
Rosita
Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
-
C.
Rosita
Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
-
D.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
E.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
- 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: Lisette Triple: [La rondine, mainCharacter, Lisette]
Generated description
Lisette is a character in Giacomo Puccini's opera "La rondine," serving as the maid and comic counterpart to the heroine, Magda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lisette Target entity description: Lisette is a character in Giacomo Puccini's opera "La rondine," serving as the maid and comic counterpart to the heroine, Magda.
-
A.
Lizette
Lizette is the nickname of American actress Elizabeth Rooney Mara, known for her roles in films like "The Girl with the Dragon Tattoo" and "Carol."
-
B.
Rosita
Rosita is a shy but talented pig and devoted mother who becomes a standout performer in the animated musical film "Sing."
-
C.
Rosita
Rosita is a bilingual, turquoise monster Muppet on Sesame Street known for introducing Spanish language and Latino culture to the show.
-
D.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
E.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb724448190be29fc1d2b946ab7 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346016848190ba864a3d46280c5a |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f635f094e48190be7d86d1236058dc |
completed | May 2, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f636d727a08190882eec3fd664b64d |
completed | May 2, 2026, 5:39 p.m. |
Created at: April 8, 2026, 9:51 p.m.