Triple
T963604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lever House |
E20787
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object | Lever Brothers Company |
E61784
|
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: Lever Brothers Company | Statement: [Lever House, developer, Lever Brothers Company]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lever Brothers Company Context triple: [Lever House, developer, Lever Brothers Company]
-
A.
Procter & Gamble
Procter & Gamble is a multinational consumer goods corporation known for a wide range of household, personal care, and hygiene brands sold globally.
-
B.
United Brands Company
United Brands Company was a major American agribusiness and food conglomerate best known as the successor to the United Fruit Company and a key player in the global banana trade.
-
C.
Unilever
chosen
Unilever is a multinational consumer goods company known for its wide range of food, personal care, and household products sold globally.
-
D.
Colgate-Palmolive
Colgate-Palmolive is a global consumer products company best known for its oral care, personal care, home care, and pet nutrition brands.
-
E.
DuPont
DuPont is a major American chemical company historically known for pioneering materials science innovations and playing a key role in U.S. industrial and wartime production.
- 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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b416cf4c8190bd685227db25fb53 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a6107481909b152291a73958d3 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.