Triple

T10367526
Position Surface form Disambiguated ID Type / Status
Subject Penguins of Madagascar E244293 entity
Predicate featuresCharacter P626 FINISHED
Object Maurice
Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
 E860635 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: Maurice | Statement: [Penguins of Madagascar, featuresCharacter, Maurice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maurice
Context triple: [Penguins of Madagascar, featuresCharacter, Maurice]
  • A. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • C. Marcel
    Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
  • D. Marcel
    Marcel is a masculine given name of French origin, commonly used in various European countries.
  • E. Swann
    Swann is a surname most prominently associated with Lynn Swann, a Hall of Fame American football wide receiver and former politician.
  • 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: Maurice
Triple: [Penguins of Madagascar, featuresCharacter, Maurice]
Generated description
Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maurice
Target entity description: Maurice is a cautious, level-headed aye-aye who serves as King Julien’s loyal advisor and caretaker in the animated Penguins of Madagascar universe.
  • A. Maurice
    Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
  • B. Maurice
    Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
  • C. Marcel
    Marcel is an American country music singer-songwriter who recorded for the Nashville-based label Lyric Street Records.
  • D. Marcel
    Marcel is a masculine given name of French origin, commonly used in various European countries.
  • E. Swann
    Swann is a surname most prominently associated with Lynn Swann, a Hall of Fame American football wide receiver and former politician.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96fd6f081908f630a16106996d9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79546b078819089dec7628c95a681 completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, noon