Triple

T11386317
Position Surface form Disambiguated ID Type / Status
Subject The Jetsons E269722 entity
Predicate hasSupportingCharacter P7748 FINISHED
Object Orbity
Orbity is a spring-legged, shape-shifting alien pet who joins the Jetson family in later adaptations of the animated series "The Jetsons."
 E922992 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: Orbity | Statement: [The Jetsons, hasSupportingCharacter, Orbity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Orbity
Context triple: [The Jetsons, hasSupportingCharacter, Orbity]
  • A. Orb
    The Orb is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
  • B. Orb
    The Orb is a ceremonial piece of royal regalia symbolizing monarchical authority and Christian sovereignty, traditionally held by the monarch during British coronations.
  • C. Orb
    Orb is a biometric imaging device developed for the Worldcoin project that scans people’s irises to create unique digital identities.
  • D. Orbitron
    Orbitron is a retro-futuristic spinning rocket ride in Disneyland’s Tomorrowland that lets guests pilot spacecraft high above the land.
  • E. Spheriks
    Spheriks are a group of animated, spherical characters created as the official mascots for the UEFA European Football Championship.
  • 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: Orbity
Triple: [The Jetsons, hasSupportingCharacter, Orbity]
Generated description
Orbity is a spring-legged, shape-shifting alien pet who joins the Jetson family in later adaptations of the animated series "The Jetsons."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Orbity
Target entity description: Orbity is a spring-legged, shape-shifting alien pet who joins the Jetson family in later adaptations of the animated series "The Jetsons."
  • A. Orb
    The Orb is a river in southern France that flows through the Occitanie region before emptying into the Mediterranean Sea.
  • B. Orb
    The Orb is a ceremonial piece of royal regalia symbolizing monarchical authority and Christian sovereignty, traditionally held by the monarch during British coronations.
  • C. Orb
    Orb is a biometric imaging device developed for the Worldcoin project that scans people’s irises to create unique digital identities.
  • D. Orbitron
    Orbitron is a retro-futuristic spinning rocket ride in Disneyland’s Tomorrowland that lets guests pilot spacecraft high above the land.
  • E. Spheriks
    Spheriks are a group of animated, spherical characters created as the official mascots for the UEFA European Football Championship.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc378d808190b587a044ede67e1e completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c3c9a7081908002d726ec9e7715 completed April 20, 2026, 2:15 a.m.
NEDg Description generation batch_69e5932d3cb88190807acdcdc3aaa9fc completed April 20, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69e59a0ab7e081908cb8761c4f82c664 completed April 20, 2026, 3:14 a.m.
Created at: April 8, 2026, 9:34 p.m.