Triple
T7065217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Obama |
E164329
|
entity |
| Predicate | hasMiddleName |
P143
|
FINISHED |
| Object | LaVaughn |
E164329
|
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: LaVaughn | Statement: [Michelle Obama, hasMiddleName, LaVaughn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LaVaughn Context triple: [Michelle Obama, hasMiddleName, LaVaughn]
-
A.
LaVaughn
chosen
LaVaughn is the middle name of Michelle Obama, the former First Lady of the United States.
-
B.
Vaughn
Vaughn is a surname most prominently associated with English film director and producer Matthew Vaughn, known for stylish action and comic-book adaptations.
-
C.
Vaughn Franklin
Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
-
D.
Vidal Davis
Vidal Davis is an American drummer and record producer best known as one half of the R&B and hip-hop production duo Dre & Vidal.
-
E.
Vance Franklin
Vance Franklin is an individual notable enough to be specifically cited as a bearer of the surname Franklin.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788ba7af88190aeaf3205255af8ad |
completed | March 28, 2026, 7:52 a.m. |
Created at: March 27, 2026, 2:39 p.m.