Triple
T8315136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis Boyd "Red" Redding |
E194687
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ellis |
E295079
|
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: Ellis | Statement: [Ellis Boyd "Red" Redding, givenName, Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellis Context triple: [Ellis Boyd "Red" Redding, givenName, Ellis]
-
A.
Ellis
chosen
Ellis is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, and academia.
-
B.
Elliott
Elliott is a masculine given name of English origin, often used as both a first name and a surname.
-
C.
Elliott
Elliott is the young boy who befriends the alien E.T. in the classic 1982 science fiction film "E.T. the Extra-Terrestrial."
-
D.
Eldridge
Eldridge is an English-language surname of Old English origin, borne by various notable individuals across fields such as politics, the arts, and sports.
-
E.
Ellis Spear
Ellis Spear was a Union Army officer and later brevet brigadier general in the American Civil War, best known for his service with the 20th Maine at the Battle of Gettysburg and his subsequent career as a lawyer and public official.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f540b2081908ccb1b2ed040c74e |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd9583fa8081909778288f4c96de72 |
completed | April 1, 2026, 10 p.m. |
Created at: March 30, 2026, 5:55 p.m.