Triple

T8095377
Position Surface form Disambiguated ID Type / Status
Subject Noah Hutton E188969 entity
Predicate directorOf P537 FINISHED
Object In Silico E709018 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: In Silico | Statement: [Noah Hutton, directorOf, In Silico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: In Silico
Context triple: [Noah Hutton, directorOf, In Silico]
  • A. In Silico chosen
    In Silico is a documentary film by Noah Hutton that critically follows and examines a decade-long, multimillion-dollar effort to simulate the human brain.
  • B. Silicon & Synapse
    Silicon & Synapse was the original name of the video game company that later became Blizzard Entertainment, known for creating major franchises like Warcraft, Diablo, and StarCraft.
  • C. Dreamlab
    Dreamlab is a music production and songwriting duo known for crafting polished pop tracks for major artists.
  • D. Devs
    Devs is a science fiction thriller miniseries created by Alex Garland that explores themes of determinism, free will, and quantum computing within a secretive tech company.
  • E. Behind the Cloud
    "Behind the Cloud" is a business and leadership book by Salesforce founder Marc Benioff that chronicles the company’s growth and shares strategies for building a successful cloud-based enterprise.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4291f1d4819098985ac2b20b6c75 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93ff6a108190ac60218ec2716c60 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:30 p.m.