Triple
T1435092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith |
E30542
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Schmitt |
E85459
|
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: Schmitt | Statement: [Smith, hasVariant, Schmitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schmitt Context triple: [Smith, hasVariant, Schmitt]
-
A.
Schmidt
chosen
Schmidt is a common German surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
-
B.
Schröder
Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
-
C.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
-
D.
Schalk
Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
-
E.
Scheider
Scheider is the surname of American actor Roy Scheider, best known for his role as Chief Brody in the film "Jaws."
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c50250b88190a0fcf3e0cbba0b1a |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad017084908190a81a784ae4a53c21 |
completed | March 8, 2026, 4:56 a.m. |
Created at: March 1, 2026, 8 p.m.