Triple
T21328211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Daggett |
E525819
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Daggett Industries |
—
|
NE NERFINISHED |
How this triple was built (3 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: Daggett Industries | Statement: [John Daggett, employer, Daggett Industries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daggett Industries Context triple: [John Daggett, employer, Daggett Industries]
-
A.
Madison Industries
Madison Industries is a privately held industrial conglomerate based in Chicago, known for acquiring and growing a diverse portfolio of manufacturing and engineering businesses across sectors such as health, safety, and infrastructure.
-
B.
Dickson Manufacturing Company
Dickson Manufacturing Company was a historic American builder of steam locomotives and industrial machinery that later became part of the American Locomotive Company through merger.
-
C.
Eldridge Industries
Eldridge Industries is a diversified holding company and investment firm founded by businessman and sports executive Todd Boehly, with interests spanning media, sports, real estate, insurance, and technology.
-
D.
Dayton Company
Dayton Company was the original department store business that evolved into what is now Target Corporation, a major American retail chain.
-
E.
Reginald Denny Industries
Reginald Denny Industries was an aviation and model aircraft company best known for pioneering radio-controlled target drones used by the U.S. military before and during World War II.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daggett Industries Target entity description: Daggett Industries is a fictional Gotham City corporation in the Batman universe, known for its corrupt business dealings and association with the villainous industrialist John Daggett.
-
A.
Madison Industries
Madison Industries is a privately held industrial conglomerate based in Chicago, known for acquiring and growing a diverse portfolio of manufacturing and engineering businesses across sectors such as health, safety, and infrastructure.
-
B.
Dickson Manufacturing Company
Dickson Manufacturing Company was a historic American builder of steam locomotives and industrial machinery that later became part of the American Locomotive Company through merger.
-
C.
Eldridge Industries
Eldridge Industries is a diversified holding company and investment firm founded by businessman and sports executive Todd Boehly, with interests spanning media, sports, real estate, insurance, and technology.
-
D.
Dayton Company
Dayton Company was the original department store business that evolved into what is now Target Corporation, a major American retail chain.
-
E.
Reginald Denny Industries
Reginald Denny Industries was an aviation and model aircraft company best known for pioneering radio-controlled target drones used by the U.S. military before and during World War II.
- F. None of above. chosen
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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4e88848190b6efe85a4c8cd85a |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.