Triple
T11726499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tricia |
E278783
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Trishy |
E278783
|
NE FINISHED |
How this triple was built (2 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: Trishy | Statement: [Tricia, hasDiminutiveForm, Trishy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trishy Context triple: [Tricia, hasDiminutiveForm, Trishy]
-
A.
Trisha
Trisha is a prominent Indian actress best known for her leading roles in Tamil films and her significant impact on South Indian cinema.
-
B.
Tricia
chosen
Tricia is a feminine given name commonly used as a shortened or informal form of Patricia.
-
C.
Tracey
Tracey is a given name used for people of any gender, more commonly as a feminine name in modern usage.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4d70d908190b5f47c2ef501a191 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0198de0708190bc3f6ec2533c8a5b |
completed | April 28, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:41 p.m.