Triple

T16961471
Position Surface form Disambiguated ID Type / Status
Subject Playmobil-Stadion E411439 entity
Predicate sponsor P67 FINISHED
Object Playmobil
Playmobil is a German line of plastic construction toys featuring small, stylized human and animal figures and themed playsets popular with children worldwide.
 E1243715 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: Playmobil | Statement: [Playmobil-Stadion, sponsor, Playmobil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Playmobil
Context triple: [Playmobil-Stadion, sponsor, Playmobil]
  • A. Big Top Toys
    Big Top Toys is a circus-themed toy shop located on Buena Vista Street in Disney California Adventure Park, offering a variety of character toys and souvenirs.
  • B. Toymaker
    The Toymaker is the primary antagonist in the film "Spy Kids 3-D: Game Over," a villainous game designer who traps players inside his virtual reality world.
  • C. Tinker Toy
    Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • D. Pluzz
    Pluzz was France Télévisions’ former online catch-up TV and streaming platform, later succeeded by france.tv.
  • E. Barbies
    "Barbies" is a song by Pink from her album *Beautiful Trauma*, reflecting on lost innocence and the complexities of growing up.
  • 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: Playmobil
Triple: [Playmobil-Stadion, sponsor, Playmobil]
Generated description
Playmobil is a German line of plastic construction toys featuring small, stylized human and animal figures and themed playsets popular with children worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Playmobil
Target entity description: Playmobil is a German line of plastic construction toys featuring small, stylized human and animal figures and themed playsets popular with children worldwide.
  • A. Big Top Toys
    Big Top Toys is a circus-themed toy shop located on Buena Vista Street in Disney California Adventure Park, offering a variety of character toys and souvenirs.
  • B. Toymaker
    The Toymaker is the primary antagonist in the film "Spy Kids 3-D: Game Over," a villainous game designer who traps players inside his virtual reality world.
  • C. Tinker Toy
    Tinker Toy is the nickname of the Douglas A-4 Skyhawk, a compact, carrier-capable attack aircraft used extensively by the U.S. Navy and Marine Corps.
  • D. Pluzz
    Pluzz was France Télévisions’ former online catch-up TV and streaming platform, later succeeded by france.tv.
  • E. Barbies
    "Barbies" is a song by Pink from her album *Beautiful Trauma*, reflecting on lost innocence and the complexities of growing up.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0209a9081909d9c62456bc16e14 completed April 18, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46ad58c8190be9f0b36daba8162 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d5f5f0448190be407979539fcd80 completed May 10, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_6a00d6e1add481908cce9048e3746e7c completed May 10, 2026, 7:05 p.m.
Created at: April 10, 2026, 5:31 a.m.