Triple

T14447800
Position Surface form Disambiguated ID Type / Status
Subject Chromium rendering engine E358251 entity
Predicate usedBy P260 FINISHED
Object Blisk
Blisk is a developer-focused web browser designed for building and testing websites, featuring tools like synchronized device emulation and automatic refresh.
 E1099630 NE FINISHED

How this triple was built (4 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: Blisk | Statement: [Chromium rendering engine, usedBy, Blisk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Blisk
Context triple: [Chromium rendering engine, usedBy, Blisk]
  • A. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • B. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • C. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • D. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • E. Stinger
    Stinger is the anthropomorphic green hornet mascot of the NHL’s Columbus Blue Jackets, known for his energetic presence at games and team events.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Blisk
Triple: [Chromium rendering engine, usedBy, Blisk]
Generated description
Blisk is a developer-focused web browser designed for building and testing websites, featuring tools like synchronized device emulation and automatic refresh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Blisk
Target entity description: Blisk is a developer-focused web browser designed for building and testing websites, featuring tools like synchronized device emulation and automatic refresh.
  • A. Blisk
    Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
  • B. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • C. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • D. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • E. Stinger
    Stinger is the anthropomorphic green hornet mascot of the NHL’s Columbus Blue Jackets, known for his energetic presence at games and team events.
  • F. None of above. chosen

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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9160126c8190a2862a1a3dde1aff completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bdf451c8190baaa3f7500eaea16 completed May 8, 2026, 3:43 a.m.
NEDg Description generation batch_69fd5c549f6c819085f8aad53d2a770f completed May 8, 2026, 3:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd5cc9ec1c8190b761c9459ca0c52e completed May 8, 2026, 3:47 a.m.
Created at: April 10, 2026, 1:19 a.m.