Triple
T3974880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucretia Mott |
E85615
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mott |
E112242
|
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: Mott | Statement: [Lucretia Mott, familyName, Mott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mott Context triple: [Lucretia Mott, familyName, Mott]
-
A.
Mott
chosen
Mott is a surname most notably associated with Sir Nevill Mott, the Nobel Prize–winning British physicist recognized for his work on the electronic structure of magnetic and disordered systems.
-
B.
Mothersbaugh
Mothersbaugh is the surname most prominently associated with American musician and composer Mark Mothersbaugh, co-founder of the new wave band Devo.
-
C.
Mottola
Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
-
D.
Blatch
Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
-
E.
Blurton
Blurton is a suburban area in Stoke-on-Trent, Staffordshire, England, known primarily as a residential community.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9b511f88190afca12c77481b344 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5401712188190aa6144dc1d5dcab6 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:32 p.m.