Triple

T20724728
Position Surface form Disambiguated ID Type / Status
Subject NGC 2359 E509403 entity
Predicate catalog P20407 FINISHED
Object Gum
Gum is an astronomical catalog compiled by Australian astronomer Colin Stanley Gum that lists emission nebulae in the southern sky.
 E1447286 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: Gum | Statement: [NGC 2359, catalog, Gum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gum
Context triple: [NGC 2359, catalog, Gum]
  • A. Gum
    Gum is a stylish, graffiti-tagging inline skater and one of the main playable members of the GGs gang in the Jet Set Radio video game series.
  • B. Gumdag
    Gumdag is a town in western Turkmenistan located within the Balkan Region, known primarily as a local center in an oil- and gas-producing area.
  • C. Gumdrop
    Gumdrop was the nickname given to the Apollo 9 command module, used in 1969 to test the lunar module and docking procedures in Earth orbit during NASA’s Apollo program.
  • D. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • E. 5 Gum
    5 Gum is a popular sugar-free chewing gum brand known for its intense flavors and sleek, modern packaging aimed at teens and young adults.
  • 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: Gum
Triple: [NGC 2359, catalog, Gum]
Generated description
Gum is an astronomical catalog compiled by Australian astronomer Colin Stanley Gum that lists emission nebulae in the southern sky.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gum
Target entity description: Gum is an astronomical catalog compiled by Australian astronomer Colin Stanley Gum that lists emission nebulae in the southern sky.
  • A. Gum
    Gum is a stylish, graffiti-tagging inline skater and one of the main playable members of the GGs gang in the Jet Set Radio video game series.
  • B. Gumdag
    Gumdag is a town in western Turkmenistan located within the Balkan Region, known primarily as a local center in an oil- and gas-producing area.
  • C. Gumdrop
    Gumdrop was the nickname given to the Apollo 9 command module, used in 1969 to test the lunar module and docking procedures in Earth orbit during NASA’s Apollo program.
  • D. Gumm
    Gumm is the birth surname of American actress and singer Judy Garland, originally Frances Ethel Gumm.
  • E. 5 Gum
    5 Gum is a popular sugar-free chewing gum brand known for its intense flavors and sleek, modern packaging aimed at teens and young adults.
  • 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_69e0b4c4cc648190b45fda6e2b20af56 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1e662f08190917ee043612d413e completed April 21, 2026, 12:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e0595d408190b9a8c2b063a83b5d completed May 16, 2026, 9:23 p.m.
NEDg Description generation batch_6a08e12d0d8c81909527575f628ec2d2 completed May 16, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08e1a7f16c8190af9a1dde4263e21d completed May 16, 2026, 9:29 p.m.
Created at: April 16, 2026, 12:28 p.m.