Triple

T5272826
Position Surface form Disambiguated ID Type / Status
Subject go! (Hawaii) E119300 entity
Predicate branding P1500 FINISHED
Object marketed simply as "go!"
go! (Hawaii) was a low-cost inter-island airline operated by Mesa Airlines that provided short-haul flights between the Hawaiian Islands.
 E508862 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: marketed simply as "go!" | Statement: [go! (Hawaii), branding, marketed simply as "go!"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: marketed simply as "go!"
Context triple: [go! (Hawaii), branding, marketed simply as "go!"]
  • A. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • B. Let’s Go on the Run
    "Let’s Go on the Run" is a song by Chance the Rapper from his debut studio album "The Big Day."
  • C. Let's Go
    "Let's Go" is a high-energy punk rock song by the Ramones, featured on their 1980 album *End of the Century*.
  • D. Come and Go
    "Come and Go" is a short, minimalist play by Samuel Beckett, renowned for its precise language and tightly choreographed staging, in which Billie Whitelaw gave a celebrated performance.
  • E. Touch and Go
    Touch and Go is a track from the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
  • 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: marketed simply as "go!"
Triple: [go! (Hawaii), branding, marketed simply as "go!"]
Generated description
go! (Hawaii) was a low-cost inter-island airline operated by Mesa Airlines that provided short-haul flights between the Hawaiian Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: marketed simply as "go!"
Target entity description: go! (Hawaii) was a low-cost inter-island airline operated by Mesa Airlines that provided short-haul flights between the Hawaiian Islands.
  • A. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • B. Let’s Go on the Run
    "Let’s Go on the Run" is a song by Chance the Rapper from his debut studio album "The Big Day."
  • C. Let's Go
    "Let's Go" is a high-energy punk rock song by the Ramones, featured on their 1980 album *End of the Century*.
  • D. Come and Go
    "Come and Go" is a short, minimalist play by Samuel Beckett, renowned for its precise language and tightly choreographed staging, in which Billie Whitelaw gave a celebrated performance.
  • E. Touch and Go
    Touch and Go is a track from the album "Barking at Airplanes" by American singer-songwriter Kim Carnes.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c2145908190a59570875d5bf3d9 completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ced8f481909d1714ed3415ab85 completed March 21, 2026, 8:59 p.m.
NEDg Description generation batch_69bf08e009788190ae74e25f35ccf100 completed March 21, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69bf0979c11c8190bc5c3957d098d8d5 completed March 21, 2026, 9:11 p.m.
Created at: March 20, 2026, 1:51 p.m.