Triple

T5501156
Position Surface form Disambiguated ID Type / Status
Subject Seattle Kraken E144330 entity
Predicate namesake P63 FINISHED
Object kraken
The kraken is a legendary sea monster from Scandinavian folklore, often depicted as a gigantic squid or octopus capable of dragging entire ships beneath the waves.
 E532198 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: kraken | Statement: [Seattle Kraken, namesake, kraken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: kraken
Context triple: [Seattle Kraken, namesake, kraken]
  • A. krone
    The krone is a Scandinavian monetary unit historically used by several Nordic countries, including Denmark, Norway, and Sweden, and still serves as the official currency in some of them today.
  • B. krar
    The krar is a traditional Ethiopian lyre-like stringed instrument widely used in Amhara music and cultural performances.
  • C. Kripi
    Kripi is a character from the Indian epic Mahabharata, known as the wife of the warrior Dronacharya and the sister of Kripa.
  • D. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • E. Brokskat
    Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
  • 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: kraken
Triple: [Seattle Kraken, namesake, kraken]
Generated description
The kraken is a legendary sea monster from Scandinavian folklore, often depicted as a gigantic squid or octopus capable of dragging entire ships beneath the waves.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: kraken
Target entity description: The kraken is a legendary sea monster from Scandinavian folklore, often depicted as a gigantic squid or octopus capable of dragging entire ships beneath the waves.
  • A. krone
    The krone is a Scandinavian monetary unit historically used by several Nordic countries, including Denmark, Norway, and Sweden, and still serves as the official currency in some of them today.
  • B. krar
    The krar is a traditional Ethiopian lyre-like stringed instrument widely used in Amhara music and cultural performances.
  • C. Kripi
    Kripi is a character from the Indian epic Mahabharata, known as the wife of the warrior Dronacharya and the sister of Kripa.
  • D. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • E. Brokskat
    Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
  • 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_69c008f5a2748190bce7a39aabf87a6d completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f08c2a4819093e772a1497c7ecc completed March 22, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027a10fa08190853d45354fd9b044 completed March 22, 2026, 5:32 p.m.
NEDg Description generation batch_69c0345909388190bfa746d22474ab8f completed March 22, 2026, 6:26 p.m.
NED2 Entity disambiguation (via description) batch_69c0354e95808190b4386e2796291dba completed March 22, 2026, 6:30 p.m.
Created at: March 22, 2026, 3:32 p.m.