Triple

T31309250
Position Surface form Disambiguated ID Type / Status
Subject Jonestown: The Life and Death of Peoples Temple E798417 entity
Predicate subject P450 FINISHED
Object Jim Jones
Jim Jones was an American cult leader and founder of the Peoples Temple, best known for orchestrating the 1978 Jonestown mass murder-suicide in Guyana.
E1956728 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: Jim Jones | Statement: [Jonestown: The Life and Death of Peoples Temple, subject, Jim Jones]
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: Jim Jones
Triple: [Jonestown: The Life and Death of Peoples Temple, subject, Jim Jones]
Generated description
Jim Jones was an American cult leader and founder of the Peoples Temple, best known for orchestrating the 1978 Jonestown mass murder-suicide in Guyana.

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_69f224e1932c81908fef14f7b03a10b7 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69e668cd88190b00ce1bb94d0503d completed May 3, 2026, 1:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2a1e40360c8190a76720d82b86892a completed June 11, 2026, 2:32 a.m.
NEDg Description generation batch_6a2a37c4113081908e84ae01d95befea completed June 11, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a2a382a072c8190a8a94bd48ab0bdaf completed June 11, 2026, 4:23 a.m.
Created at: April 29, 2026, 9:15 p.m.