Triple

T24649764
Position Surface form Disambiguated ID Type / Status
Subject December murders of 1982 E610215 entity
Predicate victim P870 FINISHED
Object André Kamperveen
André Kamperveen was a prominent Surinamese sports executive, journalist, and politician who became one of the most notable victims of the December 1982 political killings in Suriname.
E1772474 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: André Kamperveen | Statement: [December murders of 1982, victim, André Kamperveen]
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: André Kamperveen
Triple: [December murders of 1982, victim, André Kamperveen]
Generated description
André Kamperveen was a prominent Surinamese sports executive, journalist, and politician who became one of the most notable victims of the December 1982 political killings in Suriname.

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_69e2c4d350a481909170482bc2ce6af9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40f8561ac81909d38a1cd5432b305 completed May 1, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12b20bf0f08190b3ccc996dec79caa completed May 24, 2026, 8:08 a.m.
NEDg Description generation batch_6a12b40925b8819098162afa1c81fe6e completed May 24, 2026, 8:17 a.m.
NED2 Entity disambiguation (via description) batch_6a12b474faec8190babc706f978613ab completed May 24, 2026, 8:19 a.m.
Created at: April 18, 2026, 2:33 a.m.