Triple

T23585516
Position Surface form Disambiguated ID Type / Status
Subject Andrew Lazar E582331 entity
Predicate notableWork P4 FINISHED
Object Assassination of a High School President
Assassination of a High School President is a 2008 dark comedy mystery film set in a Catholic high school, following a student journalist who uncovers a conspiracy while investigating the theft of SAT exams.
E1596689 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: Assassination of a High School President | Statement: [Andrew Lazar, notableWork, Assassination of a High School President]
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: Assassination of a High School President
Triple: [Andrew Lazar, notableWork, Assassination of a High School President]
Generated description
Assassination of a High School President is a 2008 dark comedy mystery film set in a Catholic high school, following a student journalist who uncovers a conspiracy while investigating the theft of SAT exams.

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_69e248f8d8248190acd5aee77f0d1709 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b03030f88190bc325f7b4b0137f0 completed April 29, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f4579661481909bdd0bb741218173 completed May 21, 2026, 5:48 p.m.
NEDg Description generation batch_6a0f494fc8f08190a2846b4a9ab5d517 completed May 21, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0f49f4141c8190a9ae06e9d4ce7722 completed May 21, 2026, 6:07 p.m.
Created at: April 17, 2026, 6:41 p.m.