Triple

T2895284
Position Surface form Disambiguated ID Type / Status
Subject Corpse Bride E63924 entity
Predicate productionCompany P490 FINISHED
Object Laika
Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
 E307422 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: Laika | Statement: [Corpse Bride, productionCompany, Laika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laika
Context triple: [Corpse Bride, productionCompany, Laika]
  • A. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • B. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • C. Prancer
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • D. Hachiko
    Hachiko was a famously loyal Akita dog in Japan, remembered for waiting daily at Shibuya Station for his deceased owner and becoming a national symbol of devotion.
  • E. Gumbo the Dog
    Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
  • 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: Laika
Triple: [Corpse Bride, productionCompany, Laika]
Generated description
Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laika
Target entity description: Laika is an American stop-motion animation studio renowned for visually distinctive, critically acclaimed films such as Coraline, ParaNorman, and Kubo and the Two Strings.
  • A. Laika
    Laika was a Soviet space dog who became the first living creature to orbit Earth, marking a pivotal moment in the early Space Race.
  • B. Petey
    Petey is a diminutive nickname commonly used for people named Peter.
  • C. Prancer
    Prancer is one of Santa Claus's legendary flying reindeer, traditionally depicted as helping pull his sleigh on Christmas Eve.
  • D. Hachiko
    Hachiko was a famously loyal Akita dog in Japan, remembered for waiting daily at Shibuya Station for his deceased owner and becoming a national symbol of devotion.
  • E. Gumbo the Dog
    Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe06509808190b673222b9ae3d599 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03184d6fc81908119cf090e312c9e completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b035668e808190bf97708ac6c119af completed March 10, 2026, 3:14 p.m.
NED2 Entity disambiguation (via description) batch_69b03c2d0d908190b63dad3d8fcb4a29 completed March 10, 2026, 3:43 p.m.
Created at: March 6, 2026, 10:08 p.m.