Triple
T4400338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry J. Kaiser |
E93598
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Kaiser Aluminum |
E335818
|
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: Kaiser Aluminum | Statement: [Henry J. Kaiser, employer, Kaiser Aluminum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaiser Aluminum Context triple: [Henry J. Kaiser, employer, Kaiser Aluminum]
-
A.
Kaiser Aluminum
chosen
Kaiser Aluminum is an American industrial company specializing in the production of fabricated aluminum products for aerospace, automotive, and other high-performance applications.
-
B.
Alcoa
Alcoa is a major American industrial corporation known primarily for its global production of aluminum and related engineered products.
-
C.
Alcoa
Alcoa is a small industrial city in Blount County, Tennessee, historically centered around aluminum production and part of the Knoxville metropolitan area.
-
D.
Kaiser Steel
Kaiser Steel was a major American steel-producing company that played a significant role in U.S. industrial and wartime production in the mid-20th century.
-
E.
Union Minerals and Alloys Corporation
Union Minerals and Alloys Corporation was a U.S. scrap and salvage company known for purchasing and dismantling decommissioned naval vessels and other large industrial assets.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cd71ec8190a62320fd072f744f |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6135ecdc08190b2a7458614cf4c54 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:28 p.m.