Triple
T6896660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Deringer |
E159386
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Deringer |
E23553
|
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: Deringer | Statement: [Henry Deringer, familyName, Deringer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deringer Context triple: [Henry Deringer, familyName, Deringer]
-
A.
Derringer pistol
chosen
The Derringer pistol is a small, easily concealed single-shot handgun historically infamous as the type of weapon used to kill U.S. President Abraham Lincoln.
-
B.
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.
-
C.
Bernthal
Bernthal is a surname most notably associated with American actor Jon Bernthal, known for his intense roles in film and television.
-
D.
Swiss Army
The Swiss Army is Switzerland’s national military force, responsible for the country’s defense and organized primarily as a militia with a small professional core.
-
E.
Walther
Walther is a given name and surname of Germanic origin, commonly used in German-speaking countries and occasionally in other parts of Europe.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95ae3f88190b7f5d440f90ae9f9 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748dfd9608190891c8df48b771e20 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:24 p.m.