Triple
T10617056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Evan Davis |
E276147
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object | Evan |
E126478
|
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: Evan | Statement: [Joseph Evan Davis, middleName, Evan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Context triple: [Joseph Evan Davis, middleName, Evan]
-
A.
Evan
chosen
Evan is a masculine given name of Welsh origin meaning "the Lord is gracious," commonly used in English-speaking countries.
-
B.
Evan Richards
Evan Richards is an American actor best known for his role in the film "Down and Out in Beverly Hills" and various television appearances in the 1980s and 1990s.
-
C.
Evan Shelby
Evan Shelby was a colonial-era frontiersman and militia officer in the American South, best known as the father of Revolutionary War hero and Kentucky’s first governor, Isaac Shelby.
-
D.
Evan Buckley
Evan Buckley is a central firefighter character on the television drama "9-1-1," known for his bravery, impulsive nature, and emotionally driven storylines.
-
E.
Ethan
Ethan is a masculine given name of Hebrew origin meaning "strong," "firm," or "enduring," widely used in English-speaking countries.
- 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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df6e2df4819099a19b59d90d0dd1 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b7bb7108190b0f1cbe4117abec0 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:33 p.m.