Triple
T16410862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauser HSc |
E398559
|
entity |
| Predicate | designer |
P184
|
FINISHED |
| Object | Alex Seidel |
E192492
|
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: Alex Seidel | Statement: [Mauser HSc, designer, Alex Seidel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Seidel Context triple: [Mauser HSc, designer, Alex Seidel]
-
A.
Alex Seidel
chosen
Alex Seidel was a German firearms designer and industrialist best known as one of the co-founders of the weapons manufacturer Heckler & Koch.
-
B.
Justin Neudecker
Justin Neudecker is a character associated with Hammad, likely appearing in the same narrative or creative work.
-
C.
Jason Sehorn
Jason Sehorn is a former American football cornerback best known for his NFL career with the New York Giants in the 1990s and early 2000s.
-
D.
Justin Kerrigan
Justin Kerrigan is a Welsh filmmaker best known for writing and directing the 1999 cult club-culture film "Human Traffic."
-
E.
Jason Boesel
Jason Boesel is an American drummer and songwriter best known for his work with the band Rilo Kiley and collaborations with various indie rock artists.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328731a408190b38dcab0b7bb65ff |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c66d41481909340f247f6e5393f |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.