Triple

T5994384
Position Surface form Disambiguated ID Type / Status
Subject NOAA Aircraft Gulfstream IV-SP E133431 entity
Predicate nickname P55 FINISHED
Object Gonzo
Gonzo is a high-altitude Gulfstream IV-SP jet operated by NOAA for atmospheric research and hurricane reconnaissance missions.
E560395 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: Gonzo | Statement: [NOAA Aircraft Gulfstream IV-SP, nickname, Gonzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gonzo
Context triple: [NOAA Aircraft Gulfstream IV-SP, nickname, Gonzo]
  • A. Gonzo the Great
    Gonzo the Great is a daredevil, eccentric blue Muppet known for his bizarre stunts and offbeat sense of humor in The Muppet Show franchise.
  • B. Dr. Gonzo
    Dr. Gonzo is the wild, unpredictable attorney and drug-fueled companion of Raoul Duke in Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
  • C. Gobbo
    Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
  • D. Cooger
    Cooger is one of the sinister carnival proprietors in Ray Bradbury's novel "Something Wicked This Way Comes," serving as a central embodiment of its dark, supernatural menace.
  • E. Gus
    Gus is a character in the 1951 American drama film "Journey into Light," which follows a troubled minister seeking redemption in Los Angeles.
  • 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: Gonzo
Triple: [NOAA Aircraft Gulfstream IV-SP, nickname, Gonzo]
Generated description
Gonzo is a high-altitude Gulfstream IV-SP jet operated by NOAA for atmospheric research and hurricane reconnaissance missions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gonzo
Target entity description: Gonzo is a high-altitude Gulfstream IV-SP jet operated by NOAA for atmospheric research and hurricane reconnaissance missions.
  • A. Gonzo the Great
    Gonzo the Great is a daredevil, eccentric blue Muppet known for his bizarre stunts and offbeat sense of humor in The Muppet Show franchise.
  • B. Dr. Gonzo
    Dr. Gonzo is the wild, unpredictable attorney and drug-fueled companion of Raoul Duke in Hunter S. Thompson’s "Fear and Loathing in Las Vegas."
  • C. Gobbo
    Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
  • D. Cooger
    Cooger is one of the sinister carnival proprietors in Ray Bradbury's novel "Something Wicked This Way Comes," serving as a central embodiment of its dark, supernatural menace.
  • E. Gus
    Gus is a character from T. S. Eliot's "Old Possum's Book of Practical Cats," depicted as an elderly, once-famous theater cat reflecting nostalgically on his past glory.
  • 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_69c00870ddbc81909880fa3864f4f38d completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04e92e1448190bbf961a8243082ee completed March 22, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1086f6b5481908c573c6e533ad98a completed March 23, 2026, 9:31 a.m.
NEDg Description generation batch_69c10920720c8190bc182385d14d45ae completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c109ab219c8190b6155c32ae5db1b9 completed March 23, 2026, 9:36 a.m.
Created at: March 22, 2026, 4:05 p.m.