Triple
T13882701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera Simpson |
E333756
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Joey Evans |
E333738
|
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: Joey Evans | Statement: [Vera Simpson, hasRelationshipWith, Joey Evans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joey Evans Context triple: [Vera Simpson, hasRelationshipWith, Joey Evans]
-
A.
Joey Evans
chosen
Joey Evans is the charming yet morally ambiguous nightclub singer and womanizer who serves as the central character in the musical and film "Pal Joey."
-
B.
Joey Curtis
Joey Curtis is a filmmaker and screenwriter known for his work in independent cinema and visually driven storytelling.
-
C.
Joey Curtis
Joey Curtis is a screenwriter best known for co-writing the critically acclaimed romantic drama film "Blue Valentine."
-
D.
Joey Williams
Joey Williams is an American gospel musician and guitarist best known for his work with the legendary vocal group The Blind Boys of Alabama.
-
E.
Joey Wells
Joey Wells is a screenwriter best known for co-writing the comedy film "Night School."
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0bea4d248190bcbcea9ea875c5f9 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c71419b481908a3ef80abec1bf23 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.