Triple

T14253250
Position Surface form Disambiguated ID Type / Status
Subject Teletubbies E353321 entity
Predicate hasMainCharacter P1183 FINISHED
Object Laa-Laa
Laa-Laa is the yellow, fun-loving Teletubby known for her cheerful personality and love of playing with her orange ball.
 E1089634 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: Laa-Laa | Statement: [Teletubbies, hasMainCharacter, Laa-Laa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laa-Laa
Context triple: [Teletubbies, hasMainCharacter, Laa-Laa]
  • A. Lala
    Lala is a small town in the Hailakandi district of the Indian state of Assam.
  • B. Lala
    Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
  • C. La La
    "La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
  • D. Land of La La
    "Land of La La" is a track from Stevie Wonder's 1985 album *In Square Circle*, showcasing his signature blend of soulful vocals and rich synthesizer arrangements.
  • E. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • 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: Laa-Laa
Triple: [Teletubbies, hasMainCharacter, Laa-Laa]
Generated description
Laa-Laa is the yellow, fun-loving Teletubby known for her cheerful personality and love of playing with her orange ball.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laa-Laa
Target entity description: Laa-Laa is the yellow, fun-loving Teletubby known for her cheerful personality and love of playing with her orange ball.
  • A. Lala
    Lala is a small town in the Hailakandi district of the Indian state of Assam.
  • B. Lala
    Lala is an Indian honorific title traditionally used as a respectful prefix for educated or distinguished men, particularly in North India.
  • C. La La
    "La La" is a pop-rock song by American singer Ashlee Simpson from her debut album "Autobiography," known for its edgy lyrics and rebellious tone.
  • D. Land of La La
    "Land of La La" is a track from Stevie Wonder's 1985 album *In Square Circle*, showcasing his signature blend of soulful vocals and rich synthesizer arrangements.
  • E. La La La
    "La La La" is a 2013 hit single by British producer Naughty Boy featuring singer Sam Smith, known for its catchy hook and emotionally charged electronic pop sound.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6297f38c819090d7c7fd8bfa2e9e completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd325c98288190ba035fb5cc5bcf6b completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd33cba18481908f2dfe358017f11b completed May 8, 2026, 12:52 a.m.
NED2 Entity disambiguation (via description) batch_69fd346ffb9c81909ec28e514ea5451b completed May 8, 2026, 12:55 a.m.
Created at: April 10, 2026, 1:09 a.m.