Triple
T9513193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina Miller Edison |
E229453
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Lewis Miller |
E298464
|
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: Lewis Miller | Statement: [Mina Miller Edison, father, Lewis Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lewis Miller Context triple: [Mina Miller Edison, father, Lewis Miller]
-
A.
Lewis Miller
chosen
Lewis Miller was a 19th-century American inventor, industrialist, and philanthropist best known as the co-founder of the Chautauqua movement in adult education and religious instruction.
-
B.
Robert Lane Miller
Robert Lane Miller is an American author and legal expert known for his work on international business law and cross-border transactions.
-
C.
Sidney Miller
Sidney Miller was a person significant enough in the history or founding of Millerton, New York, that the village was named in his honor.
-
D.
Matthew Miller
Matthew Miller is an American television writer and producer best known for developing and executive producing the TV adaptation of the "Lethal Weapon" film franchise.
-
E.
Carl Miller
Carl Miller was an American silent film actor active in the 1920s, known for his supporting roles in several notable early Hollywood productions.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986aa99c8190b2eaa7f9b111aa2e |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a3e93a481908569a4ec80c834ab |
completed | April 4, 2026, 4:20 p.m. |
Created at: March 30, 2026, 7:58 p.m.