Triple
T8885096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Finn |
E211507
|
entity |
| Predicate | hasPartInBodyOfWork |
P7332
|
FINISHED |
| Object |
Trina
Trina is a central character in William Finn’s musical "Falsettos," known as the neurotic, long-suffering wife who navigates family upheaval with dark humor and emotional resilience.
|
E764829
|
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: Trina | Statement: [William Finn, hasPartInBodyOfWork, Trina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trina Context triple: [William Finn, hasPartInBodyOfWork, Trina]
-
A.
Trina
Trina is an American rapper known for her sexually explicit lyrics, confident persona, and influential role in Southern hip hop, particularly Miami’s rap scene.
-
B.
Tricia
Tricia is a feminine given name commonly used as a shortened or informal form of Patricia.
-
C.
Tori
Tori is a common diminutive or nickname for the given name Victoria.
-
D.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
-
E.
Tina
Tina, formally known as Baroness Stowell of Beeston, is a British Conservative politician and life peer in the House of Lords.
- 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: Trina Triple: [William Finn, hasPartInBodyOfWork, Trina]
Generated description
Trina is a central character in William Finn’s musical "Falsettos," known as the neurotic, long-suffering wife who navigates family upheaval with dark humor and emotional resilience.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trina Target entity description: Trina is a central character in William Finn’s musical "Falsettos," known as the neurotic, long-suffering wife who navigates family upheaval with dark humor and emotional resilience.
-
A.
Trina
Trina is an American rapper known for her sexually explicit lyrics, confident persona, and influential role in Southern hip hop, particularly Miami’s rap scene.
-
B.
Tricia
Tricia is a feminine given name commonly used as a shortened or informal form of Patricia.
-
C.
Tori
Tori is a common diminutive or nickname for the given name Victoria.
-
D.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
-
E.
Tina
Tina is a character portrayed by actress and comedian Melissa Rauch, known for her energetic and distinctive vocal performances.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616cf8c48190a27b381e48f23377 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabd9971c81909d1437a52e906813 |
completed | April 3, 2026, noon |
| NEDg | Description generation | batch_69cfacb58f208190b5e8eeba58f1bd78 |
completed | April 3, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfad6fff348190b0491ba38d2e6ce5 |
completed | April 3, 2026, 12:07 p.m. |
Created at: March 30, 2026, 6:53 p.m.