Triple
T9513179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mina Miller Edison |
E229453
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Mina Miller |
E49716
|
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: Mina Miller | Statement: [Mina Miller Edison, birthName, Mina Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mina Miller Context triple: [Mina Miller Edison, birthName, Mina Miller]
-
A.
Mina Miller
chosen
Mina Miller was an American socialite and philanthropist best known as the second wife of inventor Thomas Edison and for her extensive civic and charitable work.
-
B.
Jane Miller
Jane Miller is known as the daughter of renowned American playwright Arthur Miller.
-
C.
Mona Miller
Mona Miller was the wife of American writer Henry Miller, known primarily for her association with the influential novelist.
-
D.
Mercedes Miller
Mercedes Miller is known as the spouse of the late American actor, author, and political activist Christopher Lawford, a member of the Kennedy family.
-
E.
Patina Miller
Patina Miller is an American actress and singer known for her work on television, film, and Broadway, including a Tony-winning performance in the musical "Pippin."
- 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_69d14c183fa08190a28610045306db6d |
completed | April 4, 2026, 5:36 p.m. |
Created at: March 30, 2026, 7:58 p.m.