Triple

T23443521
Position Surface form Disambiguated ID Type / Status
Subject Amphibia E565468 entity
Predicate hasCharacter P2308 FINISHED
Object Domino 2
Domino 2 is a character from the animated television series "Amphibia," known as one of the pet cats belonging to protagonist Anne Boonchuy.
 E1585480 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: Domino 2 | Statement: [Amphibia, hasCharacter, Domino 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Domino 2
Context triple: [Amphibia, hasCharacter, Domino 2]
  • A. Domino
    "Domino" is a 2011 upbeat pop song by English singer-songwriter Jessie J that became one of her most commercially successful and internationally recognized hits.
  • B. Domino
    "Domino" is a 1970 upbeat rhythm and blues song by Van Morrison, known for its soulful horn arrangements and enduring popularity in his catalog.
  • C. Domino
    Domino is an independent British record label known for releasing influential indie and alternative music from artists such as Arctic Monkeys and Franz Ferdinand.
  • D. Domino
    "Domino" is a 2005 action-crime film directed by Tony Scott, loosely based on the life of bounty hunter Domino Harvey.
  • E. Domino
    Domino is an American rapper and producer known for his work in the early 1990s West Coast hip hop scene, particularly for his smooth, melodic style.
  • 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: Domino 2
Triple: [Amphibia, hasCharacter, Domino 2]
Generated description
Domino 2 is a character from the animated television series "Amphibia," known as one of the pet cats belonging to protagonist Anne Boonchuy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Domino 2
Target entity description: Domino 2 is a character from the animated television series "Amphibia," known as one of the pet cats belonging to protagonist Anne Boonchuy.
  • A. Domino
    "Domino" is a 2005 action-crime film directed by Tony Scott, loosely based on the life of bounty hunter Domino Harvey.
  • B. Domino
    Domino is the Bond girl character portrayed by Claudine Auger in the 1965 James Bond film "Thunderball."
  • C. Domino
    "Domino" is a 1970 upbeat rhythm and blues song by Van Morrison, known for its soulful horn arrangements and enduring popularity in his catalog.
  • D. Domino
    Domino is an independent British record label known for releasing influential indie and alternative music from artists such as Arctic Monkeys and Franz Ferdinand.
  • E. Domino
    Domino is an American rapper and producer known for his work in the early 1990s West Coast hip hop scene, particularly for his smooth, melodic style.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64717d08190a2c25e7bbfc17a2f completed April 29, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67b7c6b08190a739ee30e51c9f46 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c7217edc881909f582f0c726d7e61 completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c76c54ba08190be8f46bacb22b6a3 completed May 19, 2026, 2:42 p.m.
Created at: April 17, 2026, 5:51 p.m.