Triple

T29798855
Position Surface form Disambiguated ID Type / Status
Subject 1981 Wonderland Avenue murders E756632 entity
Predicate perpetratorLinkedTo P698 FINISHED
Object Gregory Diles
Gregory Diles was a criminal associate of the Wonderland Gang who was implicated in the notorious 1981 Wonderland Avenue murders in Los Angeles.
E1908778 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: Gregory Diles | Statement: [1981 Wonderland Avenue murders, perpetratorLinkedTo, Gregory Diles]
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: Gregory Diles
Triple: [1981 Wonderland Avenue murders, perpetratorLinkedTo, Gregory Diles]
Generated description
Gregory Diles was a criminal associate of the Wonderland Gang who was implicated in the notorious 1981 Wonderland Avenue murders in Los Angeles.

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_69f22454583081908927516cb9938d1d completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f674e861f08190a85ab46799e50c74 completed May 2, 2026, 10:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276ed3f4e081909a4a02b02e0da137 completed June 9, 2026, 1:39 a.m.
NEDg Description generation batch_6a276fd755b08190b6b6ef8d78b455aa completed June 9, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_6a2771970b548190ae6a535834242983 completed June 9, 2026, 1:51 a.m.
Created at: April 29, 2026, 5:17 p.m.