Triple

T10632887
Position Surface form Disambiguated ID Type / Status
Subject Sopwith Tabloid E250502 entity
Predicate engineModelUsed P6068 FINISHED
Object Gnome Lambda
Gnome Lambda was a World War I–era French rotary aircraft engine known for its use in early fighter and reconnaissance planes.
E876367 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: Gnome Lambda | Statement: [Sopwith Tabloid, engineModelUsed, Gnome Lambda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gnome Lambda
Context triple: [Sopwith Tabloid, engineModelUsed, Gnome Lambda]
  • A. Eye of GNOME
    Eye of GNOME is the default image viewer for the GNOME desktop environment, providing a simple interface for viewing and basic manipulation of image files.
  • B. BlueGnome
    BlueGnome was a genomics technology company specializing in cytogenetics and genetic screening solutions, later integrated into Illumina’s portfolio.
  • C. Gobo
    Gobo is a coastal city in Japan known for its fishing industry and location in Wakayama Prefecture on the Kii Peninsula.
  • D. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • E. The Gnome-Mobile
    The Gnome-Mobile is a 1967 Walt Disney live-action fantasy comedy film about two children who help a businessman protect a pair of gnomes and their forest home.
  • 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: Gnome Lambda
Triple: [Sopwith Tabloid, engineModelUsed, Gnome Lambda]
Generated description
Gnome Lambda was a World War I–era French rotary aircraft engine known for its use in early fighter and reconnaissance planes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gnome Lambda
Target entity description: Gnome Lambda was a World War I–era French rotary aircraft engine known for its use in early fighter and reconnaissance planes.
  • A. Eye of GNOME
    Eye of GNOME is the default image viewer for the GNOME desktop environment, providing a simple interface for viewing and basic manipulation of image files.
  • B. BlueGnome
    BlueGnome was a genomics technology company specializing in cytogenetics and genetic screening solutions, later integrated into Illumina’s portfolio.
  • C. Gobo
    Gobo is a coastal city in Japan known for its fishing industry and location in Wakayama Prefecture on the Kii Peninsula.
  • D. Lumo
    Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
  • E. The Gnome-Mobile
    The Gnome-Mobile is a 1967 Walt Disney live-action fantasy comedy film about two children who help a businessman protect a pair of gnomes and their forest home.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df95f5e88190b34ce3ec972759ef completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
NEDg Description generation batch_69d9701de92881908c0b8f05eae97e35 completed April 10, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_69d970f3f78081909bcb2dae6dae06d5 completed April 10, 2026, 9:51 p.m.
Created at: April 8, 2026, 9:02 p.m.