Triple

T9615925
Position Surface form Disambiguated ID Type / Status
Subject Marlin E232218 entity
Predicate spouse P13 FINISHED
Object Coral
Coral is a minor but pivotal character in Pixar's animated film "Finding Nemo," known as Marlin's mate and the mother of Nemo whose death sets the story in motion.
 E810507 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: Coral | Statement: [Marlin, spouse, Coral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Coral
Context triple: [Marlin, spouse, Coral]
  • A. Coral
    Coral is a major UK-based betting and gaming company known for its nationwide chain of bookmakers and online gambling services.
  • B. Black Coral
    "Black Coral" is a rock song by the Stills-Young Band, the short-lived collaboration between Stephen Stills and Neil Young in the mid-1970s.
  • C. Kinda Coral
    Kinda Coral is a soft, pastel pinkish-orange color variant used as one of the signature finishes for Google’s Pixel 6 smartphone.
  • D. Supercoralli
    Supercoralli is a prominent literary fiction series by the Italian publisher Einaudi, known for showcasing acclaimed contemporary and classic authors.
  • E. Green Seas
    Green Seas is an episode of the BBC nature documentary series Blue Planet II that explores the rich biodiversity and ecological dynamics of coastal and shallow marine environments.
  • 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: Coral
Triple: [Marlin, spouse, Coral]
Generated description
Coral is a minor but pivotal character in Pixar's animated film "Finding Nemo," known as Marlin's mate and the mother of Nemo whose death sets the story in motion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Coral
Target entity description: Coral is a minor but pivotal character in Pixar's animated film "Finding Nemo," known as Marlin's mate and the mother of Nemo whose death sets the story in motion.
  • A. Coral
    Coral is a major UK-based betting and gaming company known for its nationwide chain of bookmakers and online gambling services.
  • B. Black Coral
    "Black Coral" is a rock song by the Stills-Young Band, the short-lived collaboration between Stephen Stills and Neil Young in the mid-1970s.
  • C. Kinda Coral
    Kinda Coral is a soft, pastel pinkish-orange color variant used as one of the signature finishes for Google’s Pixel 6 smartphone.
  • D. Supercoralli
    Supercoralli is a prominent literary fiction series by the Italian publisher Einaudi, known for showcasing acclaimed contemporary and classic authors.
  • E. Green Seas
    Green Seas is an episode of the BBC nature documentary series Blue Planet II that explores the rich biodiversity and ecological dynamics of coastal and shallow marine environments.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aad71a0819084ea00c2409e9922 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1795e7be08190a088e49a79251570 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17b33ba6c8190a4d08d29ea6c7b86 completed April 4, 2026, 8:57 p.m.
NED2 Entity disambiguation (via description) batch_69d17bb23b68819083a54ff8a19f741c completed April 4, 2026, 8:59 p.m.
Created at: March 30, 2026, 8:09 p.m.