Triple

T34256136
Position Surface form Disambiguated ID Type / Status
Subject RoboCop franchise E878881 entity
Predicate hasPart P35 FINISHED
Object RoboCop: Prime Directives
RoboCop: Prime Directives is a Canadian television miniseries set in the RoboCop universe that follows an aging Alex Murphy confronting new corporate conspiracies and advanced cyborg threats in a dystopian future Detroit.
E2091703 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: RoboCop: Prime Directives | Statement: [RoboCop franchise, hasPart, RoboCop: Prime Directives]
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: RoboCop: Prime Directives
Triple: [RoboCop franchise, hasPart, RoboCop: Prime Directives]
Generated description
RoboCop: Prime Directives is a Canadian television miniseries set in the RoboCop universe that follows an aging Alex Murphy confronting new corporate conspiracies and advanced cyborg threats in a dystopian future Detroit.

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_69f349b421cc8190b4b4655e1d612548 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f712a66cb48190a8a5835103698594 completed May 3, 2026, 9:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36f9b99e808190b0aea9bce35e2a42 completed June 20, 2026, 8:36 p.m.
NEDg Description generation batch_6a36fb468d248190ada52608298a4ef2 completed June 20, 2026, 8:42 p.m.
NED2 Entity disambiguation (via description) batch_6a36fbdbfd7881909e5088bedded00a3 completed June 20, 2026, 8:45 p.m.
Created at: May 1, 2026, 1:56 a.m.