Triple

T3129124
Position Surface form Disambiguated ID Type / Status
Subject Bobby Digital E65367 entity
Predicate notableWork P4 FINISHED
Object Digital Bullet E65381 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: Digital Bullet | Statement: [Bobby Digital, notableWork, Digital Bullet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digital Bullet
Context triple: [Bobby Digital, notableWork, Digital Bullet]
  • A. Digital Bullet chosen
    Digital Bullet is a hip-hop album by RZA (under his Bobby Digital persona) that blends gritty beats with futuristic, comic book–inspired storytelling.
  • B. Digil
    Digil is a major dialect cluster of the Somali language spoken primarily by the Digil-Mirifle (Rahanweyn) communities in southern Somalia.
  • C. DIGIT
    DIGIT is the European Commission’s Directorate‑General responsible for shaping, implementing, and managing the EU institutions’ digital, IT, and cybersecurity strategies and services.
  • D. Pixels
    Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
  • E. Cyber-Shades
    Cyber-Shades are a variant of the Cybermen in Doctor Who, characterized by their bestial, hound-like form used for tracking and capturing victims.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada548123c8190bcfe780c65941585 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f7c70108190b61177d1581fc33f completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.