Triple

T38619581
Position Surface form Disambiguated ID Type / Status
Subject Blackmagic URSA Broadcast G2 E936831 entity
Predicate hasGammaCurve P171705 FINISHED
Object Blackmagic Film
Blackmagic Film is a logarithmic gamma curve developed by Blackmagic Design to capture wide dynamic range and preserve maximum detail for color grading in post-production.
 E2279433 NE FINISHED

How this triple was built (3 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: Blackmagic Film | Statement: [Blackmagic URSA Broadcast G2, hasGammaCurve, Blackmagic Film]
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: Blackmagic Film
Triple: [Blackmagic URSA Broadcast G2, hasGammaCurve, Blackmagic Film]
Generated description
Blackmagic Film is a logarithmic gamma curve developed by Blackmagic Design to capture wide dynamic range and preserve maximum detail for color grading in post-production.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasGammaCurve
Context triple: [Blackmagic URSA Broadcast G2, hasGammaCurve, Blackmagic Film]
  • A. gammaCurveType chosen
    Indicates the specific type or model of gamma correction curve applied in a color or image processing context.
  • B. assumedDisplayGamma
    Indicates that a specific gamma value is presumed to characterize the display’s tone response or brightness mapping behavior.
  • C. hasWiderGamutThan
    Indicates that one entity supports or encompasses a broader range or spectrum (e.g., of colors or values) than another entity.
  • D. hasAlphaEnhancement
    Indicates that an entity possesses an increased or augmented alpha-related property, characteristic, or capability compared to a baseline.
  • E. supportsColorSampling
    Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
  • F. None of above.

Provenance (6 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_69f76ed403208190b862dc795171353f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcf825ca7081909d06b0df33eb33f9 completed May 7, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd549d188190b6a1e5b1722ecb7c completed June 29, 2026, 5:06 a.m.
NEDg Description generation batch_6a41fdf07718819099648fb5261a7458 completed June 29, 2026, 5:09 a.m.
NED2 Entity disambiguation (via description) batch_6a41fe64267481909cd252fcf484afaa completed June 29, 2026, 5:11 a.m.
PD Predicate disambiguation batch_69fcf42160f0819096812a8bf590875e completed May 7, 2026, 8:20 p.m.
Created at: May 3, 2026, 4:32 p.m.