Triple

T8412805
Position Surface form Disambiguated ID Type / Status
Subject Ecco the Dolphin E198662 entity
Predicate hasSequel P1961 FINISHED
Object Ecco Jr.
Ecco Jr. is a more accessible, child-friendly spin-off of the Ecco the Dolphin video game series, featuring simplified gameplay and educational elements.
 E732849 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: Ecco Jr. | Statement: [Ecco the Dolphin, hasSequel, Ecco Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ecco Jr.
Context triple: [Ecco the Dolphin, hasSequel, Ecco Jr.]
  • A. Ecco
    Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
  • B. Trigger, Jr.
    Trigger, Jr. is the famous palomino horse that appeared alongside American singing cowboy Roy Rogers in numerous Western films and performances.
  • C. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • D. Egghead Jr.
    Egghead Jr. is a highly intelligent, bespectacled chick from the Looney Tunes cartoons who often outsmarts the bumbling rooster Foghorn Leghorn.
  • E. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • 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: Ecco Jr.
Triple: [Ecco the Dolphin, hasSequel, Ecco Jr.]
Generated description
Ecco Jr. is a more accessible, child-friendly spin-off of the Ecco the Dolphin video game series, featuring simplified gameplay and educational elements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ecco Jr.
Target entity description: Ecco Jr. is a more accessible, child-friendly spin-off of the Ecco the Dolphin video game series, featuring simplified gameplay and educational elements.
  • A. Ecco
    Ecco is a literary imprint known for publishing high-quality fiction, nonfiction, and poetry under the HarperCollins umbrella.
  • B. Trigger, Jr.
    Trigger, Jr. is the famous palomino horse that appeared alongside American singing cowboy Roy Rogers in numerous Western films and performances.
  • C. Jovie
    Jovie is a cheerful and kind-hearted department store employee and Buddy's love interest in the Christmas comedy film "Elf."
  • D. Egghead Jr.
    Egghead Jr. is a highly intelligent, bespectacled chick from the Looney Tunes cartoons who often outsmarts the bumbling rooster Foghorn Leghorn.
  • E. Jo Jo
    Jo Jo is a screenwriter known for contributing to the script of the 1941 Technicolor drama film "Blood and Sand."
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e18e7c8190a30b14136dee3d93 completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce0322d1448190aceaf7486c110ff7 completed April 2, 2026, 5:48 a.m.
NEDg Description generation batch_69ce0781859c8190bb92f41c00af459b completed April 2, 2026, 6:06 a.m.
NED2 Entity disambiguation (via description) batch_69ce089d09c08190ba321aed4044a862 completed April 2, 2026, 6:11 a.m.
Created at: March 30, 2026, 6:06 p.m.