Triple

T22445641
Position Surface form Disambiguated ID Type / Status
Subject Fuchsia E554855 entity
Predicate bootloader P31029 FINISHED
Object Zedboot
Zedboot is a network-capable bootloader used by the Fuchsia operating system to load and launch system images during development and deployment.
E1537663 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: Zedboot | Statement: [Fuchsia, bootloader, Zedboot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zedboot
Context triple: [Fuchsia, bootloader, Zedboot]
  • A. Zedus
    Zedus is a giant, reptilian kaiju antagonist from the film "Gamera the Brave," known for battling the young Gamera.
  • B. Zed
    Zed is the rebellious Exterminator protagonist played by Sean Connery in the 1974 science fiction film "Zardoz."
  • C. Zed
    Zed is the central protagonist of the crime film "Killing Zoe," a professional safecracker drawn into a violent Parisian bank heist.
  • D. Zed
    Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
  • E. Zed
    Zed is a loud, eccentric former gang leader turned bumbling police officer in the Police Academy comedy film series.
  • 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: Zedboot
Triple: [Fuchsia, bootloader, Zedboot]
Generated description
Zedboot is a network-capable bootloader used by the Fuchsia operating system to load and launch system images during development and deployment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zedboot
Target entity description: Zedboot is a network-capable bootloader used by the Fuchsia operating system to load and launch system images during development and deployment.
  • A. Zedus
    Zedus is a giant, reptilian kaiju antagonist from the film "Gamera the Brave," known for battling the young Gamera.
  • B. Zed
    Zed is the rebellious Exterminator protagonist played by Sean Connery in the 1974 science fiction film "Zardoz."
  • C. Zed
    Zed is the central protagonist of the crime film "Killing Zoe," a professional safecracker drawn into a violent Parisian bank heist.
  • D. Zed
    Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
  • E. Zed
    Zed is a loud, eccentric former gang leader turned bumbling police officer in the Police Academy comedy film series.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b46e8ac8190bfa8c611ffcba822 completed April 29, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c74318081909fe8f6b794b6ce83 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0d6d5b0c8190a96b3d556ccf5aee completed May 18, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0e2082a88190b0c203cb933276dd completed May 18, 2026, 1:03 p.m.
Created at: April 16, 2026, 8:47 p.m.