Triple
T20637592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rupert Soames |
E507126
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Aggreko
Aggreko is a global provider of temporary power generation and temperature control solutions for industrial, commercial, and event applications.
|
E1442643
|
NE FINISHED |
How this triple was built (4 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: Aggreko | Statement: [Rupert Soames, employer, Aggreko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aggreko Context triple: [Rupert Soames, employer, Aggreko]
-
A.
Alpicat
Alpicat is a municipality in the comarca of Segrià in Catalonia, northeastern Spain.
-
B.
Bronto Crane
Bronto Crane is a recurring dinosaur construction vehicle character from the Flintstones universe, appearing in the animated series "The Pebbles and Bamm-Bamm Show."
-
C.
Turbina
Turbina is a small genus of flowering plants in the morning glory family, known for its twining vines and showy, funnel-shaped blooms.
-
D.
Imbera
Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
-
E.
Wadrill
Wadrill is a village and district within the town of Wadern in the Saarland region of Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aggreko Triple: [Rupert Soames, employer, Aggreko]
Generated description
Aggreko is a global provider of temporary power generation and temperature control solutions for industrial, commercial, and event applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aggreko Target entity description: Aggreko is a global provider of temporary power generation and temperature control solutions for industrial, commercial, and event applications.
-
A.
Alpicat
Alpicat is a municipality in the comarca of Segrià in Catalonia, northeastern Spain.
-
B.
Bronto Crane
Bronto Crane is a recurring dinosaur construction vehicle character from the Flintstones universe, appearing in the animated series "The Pebbles and Bamm-Bamm Show."
-
C.
Turbina
Turbina is a small genus of flowering plants in the morning glory family, known for its twining vines and showy, funnel-shaped blooms.
-
D.
Imbera
Imbera is a commercial refrigeration company known for manufacturing and supplying coolers and related equipment, operating as a subsidiary of the Mexican multinational FEMSA.
-
E.
Wadrill
Wadrill is a village and district within the town of Wadern in the Saarland region of Germany.
- F. None of above. chosen
Provenance (5 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1089448190b936de6fd29c8350 |
completed | April 20, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c588a18881909a6f7c0eac0d11f4 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c675f4088190a499bec77b64b2af |
completed | May 16, 2026, 7:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c6e60f308190a772c0133b9016e9 |
completed | May 16, 2026, 7:35 p.m. |
Created at: April 16, 2026, 11:42 a.m.