Triple

T8537090
Position Surface form Disambiguated ID Type / Status
Subject Brave (song) E202104 entity
Predicate recordLabel P1500 FINISHED
Object Epic E65195 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: Epic | Statement: [Brave (song), recordLabel, Epic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Epic
Context triple: [Brave (song), recordLabel, Epic]
  • A. Epic chosen
    Epic is a major American record label known for signing and promoting a wide range of influential artists across pop, rock, R&B, and hip-hop.
  • B. Epic
    Epic is a 2013 animated fantasy-adventure film that follows a teenage girl who is transported to a secret forest world where she helps tiny warriors protect nature from destructive forces.
  • C. EPIC
    EPIC is the official photo identity card issued by the Election Commission of India to eligible voters for identification during elections.
  • D. EPIC
    EPIC (Earth Polychromatic Imaging Camera) is a NASA instrument aboard the DSCOVR/Triana spacecraft that continuously images the sunlit side of Earth in multiple wavelengths for climate and atmospheric studies.
  • E. Epic OpTime
    Epic OpTime is Epic Systems’ operating room management module that supports surgical scheduling, documentation, and perioperative workflows within hospitals and health systems.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a3f024819095d560a205ff1c75 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce890eb0b48190aa76cc955d00ec18 completed April 2, 2026, 3:19 p.m.
Created at: March 30, 2026, 6:18 p.m.