Triple

T12859
Position Surface form Disambiguated ID Type / Status
Subject IEEE 1394 E259 entity
Predicate alsoKnownAs P39 FINISHED
Object Lynx
Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
 E2821 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: Lynx | Statement: [IEEE 1394, alsoKnownAs, Lynx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lynx
Context triple: [IEEE 1394, alsoKnownAs, Lynx]
  • A. Beaver
    Beaver was one of the British ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest in 1773.
  • B. Beavers
    The Beavers are the athletic teams representing Oregon State University in NCAA Division I sports.
  • C. mule deer
    The mule deer is a North American deer species known for its large, mule-like ears and adaptability to a wide range of habitats, from mountains and forests to deserts.
  • D. Blades the Bruin
    Blades the Bruin is the official anthropomorphic bear mascot of the NHL’s Boston Bruins, known for entertaining fans at games and team events.
  • E. Lick
    Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
  • 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: Lynx
Triple: [IEEE 1394, alsoKnownAs, Lynx]
Generated description
Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lynx
Target entity description: Lynx is a high-speed serial computer bus interface standard, better known as IEEE 1394 or FireWire, used for real-time data transfer between digital devices.
  • A. Beaver
    Beaver was one of the British ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest in 1773.
  • B. Beavers
    The Beavers are the athletic teams representing Oregon State University in NCAA Division I sports.
  • C. mule deer
    The mule deer is a North American deer species known for its large, mule-like ears and adaptability to a wide range of habitats, from mountains and forests to deserts.
  • D. Blades the Bruin
    Blades the Bruin is the official anthropomorphic bear mascot of the NHL’s Boston Bruins, known for entertaining fans at games and team events.
  • E. Lick
    Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
  • 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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a23ff415ec819082ba80ed3859b71e completed Feb. 28, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e54be7481909db32fd9b1e90cca completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a250b213c881909381abc66f5ebe68 completed Feb. 28, 2026, 2:19 a.m.
NED2 Entity disambiguation (via description) batch_69a2515b915c8190b122de0025bd954f completed Feb. 28, 2026, 2:22 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.