Triple
T23036833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Fry |
E573619
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | 3M Company |
—
|
NE NERFINISHED |
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: 3M Company | Statement: [Arthur Fry, employer, 3M Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3M Company Context triple: [Arthur Fry, employer, 3M Company]
-
A.
3M
chosen
3M is a multinational conglomerate corporation known for its wide range of innovative products in areas such as adhesives, abrasives, healthcare, and consumer goods, including the iconic Post-it Notes and Scotch tape.
-
B.
3M
3M is the IATA airline designator assigned to Silver Airways, a U.S.-based regional airline.
-
C.
Kellex Corporation
Kellex Corporation was an engineering firm best known for designing and overseeing construction of the K-25 gaseous diffusion plant used in the Manhattan Project to enrich uranium during World War II.
-
D.
Stanley Works
Stanley Works is a historic American tool and hardware manufacturing company best known as a predecessor to Stanley Black & Decker.
-
E.
Pall Corporation
Pall Corporation is a global leader in filtration, separation, and purification technologies serving industries such as biopharmaceuticals, aerospace, and microelectronics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850fe5348190b42259595d82cff4 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:53 p.m.