Triple
T17142300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Madsen |
E415997
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Madsen |
E1027431
|
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: Madsen | Statement: [Virginia Madsen, familyName, Madsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madsen Context triple: [Virginia Madsen, familyName, Madsen]
-
A.
Madsen
chosen
Madsen is a Danish-origin surname borne by various notable individuals across fields such as acting, sports, and politics.
-
B.
Bushmaster
The Bushmaster is a heavily armored, mine-resistant infantry mobility vehicle widely used for troop transport and protection in modern military operations.
-
C.
Bushmaster
Bushmaster is a superpowered crime boss and martial artist in Marvel Comics, best known as a formidable adversary of Luke Cage.
-
D.
Colt
Colt is one of the three young martial artist brothers in the "Three Ninjas" film series, known for his fiery temper and strong fighting skills.
-
E.
Speer
Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d5de10819090cbd65661b018d3 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014154b9848190ac01602eb01ae710 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.