Triple
T7722825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alliant Techsystems |
E175054
|
entity |
| Predicate | ownedBrand |
P1500
|
FINISHED |
| Object | Speer |
E684178
|
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: Speer | Statement: [Alliant Techsystems, ownedBrand, Speer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speer Context triple: [Alliant Techsystems, ownedBrand, Speer]
-
A.
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.
-
B.
Speer Bullets
chosen
Speer Bullets is an American ammunition manufacturer best known for producing high-quality bullets and loaded cartridges for hunting, law enforcement, and sport shooting.
-
C.
Walther
Walther is a given name and surname of Germanic origin, commonly used in German-speaking countries and occasionally in other parts of Europe.
-
D.
Bernthal
Bernthal is a surname most notably associated with American actor Jon Bernthal, known for his intense roles in film and television.
-
E.
Steyer
Steyer is a Polish surname most notably borne by Włodzimierz Steyer, a Polish naval officer and admiral.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f39fa48190b7b8a09446b5cf78 |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be2de08881909715d9164b743aae |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:05 p.m.