Triple
T8131381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heckler & Koch |
E189859
|
entity |
| Predicate | foundedBy |
P104
|
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: [Heckler & Koch, foundedBy, Alex Seidel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Seidel Context triple: [Heckler & Koch, foundedBy, 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.
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.
-
C.
Adrian Suter
Adrian Suter is a Swiss mathematician known for his contributions to graph theory and discrete mathematics.
-
D.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
E.
Bryan Zuriff
Bryan Zuriff is a television producer best known for his work as an executive producer on the crime drama series "Ray Donovan."
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43b96cd481908c0679050c35d83f |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbec8491c81908362d44c42fc8568 |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:34 p.m.