Triple

T4051518
Position Surface form Disambiguated ID Type / Status
Subject Panasonic E84596 entity
Predicate brand P1500 FINISHED
Object National
National is a Japanese electronics and home appliance brand historically used by Panasonic for a wide range of consumer products, especially in Asian markets.
E409731 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: National | Statement: [Panasonic, brand, National]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: National
Context triple: [Panasonic, brand, National]
  • A. National
    National is a major centre-right political party in New Zealand, formally known as the New Zealand National Party.
  • B. Nacional
    Nacional is a news section of the Colombian newspaper El Espectador that focuses on national-level events and issues.
  • C. Nacional
    Nacional is a character in the 1922 silent drama film "Blood and Sand," which centers on the rise and fall of a celebrated Spanish bullfighter.
  • D. Nation
    Nation is a major public square and transportation hub in eastern Paris, France, known for its large roundabout, prominent monuments, and busy metro and RER interchange.
  • E. Nationale
    Nationale is a French national-level rugby union competition that forms part of the country’s professional and semi-professional league structure.
  • 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: National
Triple: [Panasonic, brand, National]
Generated description
National is a Japanese electronics and home appliance brand historically used by Panasonic for a wide range of consumer products, especially in Asian markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: National
Target entity description: National is a Japanese electronics and home appliance brand historically used by Panasonic for a wide range of consumer products, especially in Asian markets.
  • A. National
    National is a major centre-right political party in New Zealand, formally known as the New Zealand National Party.
  • B. Nacional
    Nacional is a news section of the Colombian newspaper El Espectador that focuses on national-level events and issues.
  • C. Nacional
    Nacional is a character in the 1922 silent drama film "Blood and Sand," which centers on the rise and fall of a celebrated Spanish bullfighter.
  • D. Nation
    Nation is a major public square and transportation hub in eastern Paris, France, known for its large roundabout, prominent monuments, and busy metro and RER interchange.
  • E. Nationale
    Nationale is a French national-level rugby union competition that forms part of the country’s professional and semi-professional league structure.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8539148190990468c1429be9dd completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55659256081909154569cedd1694a completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b5572b27c48190989311cef00b5f44 completed March 14, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_69b55b333ffc8190a5df8b8d7bffa77f completed March 14, 2026, 12:57 p.m.
Created at: March 9, 2026, 3:37 p.m.