Triple

T37907503
Position Surface form Disambiguated ID Type / Status
Subject Ernest Oppenheimer E945594 entity
Predicate child P120 FINISHED
Object Harry Oppenheimer
Harry Oppenheimer was a prominent South African businessman and mining magnate who led the Anglo American Corporation and De Beers, becoming one of the most influential figures in the global diamond and gold industries.
E945594 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: Harry Oppenheimer | Statement: [Ernest Oppenheimer, child, Harry Oppenheimer]
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: Harry Oppenheimer
Triple: [Ernest Oppenheimer, child, Harry Oppenheimer]
Generated description
Harry Oppenheimer was a prominent South African businessman and mining magnate who led the Anglo American Corporation and De Beers, becoming one of the most influential figures in the global diamond and gold industries.

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_69f76ef20bb0819088b5b6ceecb0b8fc completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbbd5b2b0c8190a76f975a1859d1bd completed May 6, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a410cc8b0048190ab034aeb96049d73 completed June 28, 2026, noon
NEDg Description generation batch_6a410d70ba0c8190bdcab9e762c92884 completed June 28, 2026, 12:02 p.m.
NED2 Entity disambiguation (via description) batch_6a410e3dd828819099fc3a413bcfbeb9 completed June 28, 2026, 12:06 p.m.
Created at: May 3, 2026, 4:20 p.m.