Triple
T2228332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joyce King |
E48705
|
entity |
| Predicate | componentType |
P6678
|
FINISHED |
| Object | Joyce is a given name |
E48705
|
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: Joyce is a given name | Statement: [Joyce King, componentType, Joyce is a given name]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joyce is a given name Context triple: [Joyce King, componentType, Joyce is a given name]
-
A.
Jane
Jane is a feminine given name of English origin that has been widely used in many English-speaking countries for centuries.
-
B.
Giorgio Joyce
Giorgio Joyce was the son of Irish writer James Joyce, known primarily for his close relationship with his father and his career as a singer.
-
C.
Joyce King
chosen
Joyce King is a personal name shared by multiple individuals, including professionals in fields such as academia, law, and the arts.
-
D.
Jane Smith
Jane Smith is the fictional covert assassin and wife of John Smith played by Angelina Jolie in the action film "Mr. & Mrs. Smith."
-
E.
Josephine Dillon
Josephine Dillon was an American acting coach and the first wife of film star Clark Gable, known for helping develop his early career in Hollywood.
- 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_69a88aa51b388190949868ec9766e587 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0670ce48190b98814064bff0517 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6567b64c8190ab718f20bbf033df |
completed | March 9, 2026, 6:15 a.m. |
Created at: March 4, 2026, 7:47 p.m.