Triple
T13753655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carla Tortelli |
E330418
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Lucinda Tortelli
Lucinda Tortelli is one of Carla Tortelli’s children on the classic television sitcom "Cheers."
|
E1098592
|
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: Lucinda Tortelli | Statement: [Carla Tortelli, child, Lucinda Tortelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucinda Tortelli Context triple: [Carla Tortelli, child, Lucinda Tortelli]
-
A.
Lucinda Sanders
Lucinda Sanders is a prominent landscape architect and business leader, best known as a principal and CEO of the design firm OLIN.
-
B.
Lucinda Edmonds
Lucinda Edmonds is the birth name of Lucinda Riley, a bestselling Irish author known for her historical and family saga novels, including the "Seven Sisters" series.
-
C.
Carla Tortelli
Carla Tortelli is a sharp-tongued, tough, and fiercely loyal waitress on the classic American sitcom "Cheers."
-
D.
Lucinda Franks
Lucinda Franks was a Pulitzer Prize–winning American journalist and author known for her investigative reporting and memoirs.
-
E.
Lucinda Walsh
Lucinda Walsh is a powerful, manipulative businesswoman and matriarch on the long-running American soap opera "As the World Turns."
- 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: Lucinda Tortelli Triple: [Carla Tortelli, child, Lucinda Tortelli]
Generated description
Lucinda Tortelli is one of Carla Tortelli’s children on the classic television sitcom "Cheers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucinda Tortelli Target entity description: Lucinda Tortelli is one of Carla Tortelli’s children on the classic television sitcom "Cheers."
-
A.
Lucinda Sanders
Lucinda Sanders is a prominent landscape architect and business leader, best known as a principal and CEO of the design firm OLIN.
-
B.
Lucinda Edmonds
Lucinda Edmonds is the birth name of Lucinda Riley, a bestselling Irish author known for her historical and family saga novels, including the "Seven Sisters" series.
-
C.
Carla Tortelli
Carla Tortelli is a sharp-tongued, tough, and fiercely loyal waitress on the classic American sitcom "Cheers."
-
D.
Lucinda Franks
Lucinda Franks was a Pulitzer Prize–winning American journalist and author known for her investigative reporting and memoirs.
-
E.
Lucinda Walsh
Lucinda Walsh is a powerful, manipulative businesswoman and matriarch on the long-running American soap opera "As the World Turns."
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0215cfa08190aaed8b089aff217b |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb05bb481909a0ad528e998fdf1 |
completed | May 8, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69fd5d078b8081908810acb77be74b2b |
completed | May 8, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5d7e07a08190be5154674f7478fb |
completed | May 8, 2026, 3:50 a.m. |
Created at: April 9, 2026, 10:09 p.m.