Triple
T19717866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Telephone & Telegraph |
E473526
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object | ITT 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: ITT Industries | Statement: [International Telephone & Telegraph, successor, ITT Industries]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ITT Industries Context triple: [International Telephone & Telegraph, successor, ITT Industries]
-
A.
Litton Industries
Litton Industries was a major American conglomerate best known for its diversified operations in electronics, defense, and industrial manufacturing during the mid-20th century.
-
B.
GIAT Industries
GIAT Industries is a French state-owned defense company known for designing and producing military equipment, including small arms, armored vehicles, and artillery systems.
-
C.
Guardian Industries
Guardian Industries is a major global manufacturer of glass, automotive, and building products, known for its architectural and float glass operations.
-
D.
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.
-
E.
Republic Industries
Republic Industries was a diversified American holding company that grew rapidly through acquisitions in waste management, auto dealerships, and car rental services before evolving into what became AutoNation and Republic Services.
- 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: ITT Industries Target entity description: ITT Industries is a diversified American manufacturing and engineering company known for producing industrial products and providing technical solutions across sectors such as defense, aerospace, and fluid technology.
-
A.
Litton Industries
Litton Industries was a major American conglomerate best known for its diversified operations in electronics, defense, and industrial manufacturing during the mid-20th century.
-
B.
GIAT Industries
GIAT Industries is a French state-owned defense company known for designing and producing military equipment, including small arms, armored vehicles, and artillery systems.
-
C.
Guardian Industries
Guardian Industries is a major global manufacturer of glass, automotive, and building products, known for its architectural and float glass operations.
-
D.
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.
-
E.
Republic Industries
Republic Industries was a diversified American holding company that grew rapidly through acquisitions in waste management, auto dealerships, and car rental services before evolving into what became AutoNation and Republic Services.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440ec9e881909b75c0ebefab827f |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.