Triple

T20164662
Position Surface form Disambiguated ID Type / Status
Subject King Julien XIII E491796 entity
Predicate ally P4662 FINISHED
Object Gloria
Gloria is the friendly, strong-willed hippopotamus from the Madagascar animated film series who often teams up with King Julien and the other zoo animals.
E1414324 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: Gloria | Statement: [King Julien XIII, ally, Gloria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria
Context triple: [King Julien XIII, ally, Gloria]
  • A. Gloria
    Gloria is a 1980 American crime drama film written and directed by John Cassavetes, starring Gena Rowlands as a tough ex-mobster’s girlfriend protecting a young boy from gangsters.
  • B. Gloria
    "Gloria" is a 1982 dance-pop hit song by American singer Laura Branigan that became one of her signature tracks and a major international success.
  • C. Gloria
    "Gloria" is a work associated with Northern Irish actor Colin Morgan, known for his roles in television, film, and theatre.
  • D. Gloria
    Gloria is a specific horse, likely recognized as an individual member of a larger group or stable of horses.
  • E. Gloria
    Gloria is a municipality located in the province of Oriental Mindoro in the Philippines.
  • 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: Gloria
Triple: [King Julien XIII, ally, Gloria]
Generated description
Gloria is the friendly, strong-willed hippopotamus from the Madagascar animated film series who often teams up with King Julien and the other zoo animals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria
Target entity description: Gloria is the friendly, strong-willed hippopotamus from the Madagascar animated film series who often teams up with King Julien and the other zoo animals.
  • A. Gloria
    Gloria is a charismatic female emperor penguin from the Happy Feet animated film series, known for her powerful singing voice and as Mumble’s love interest and mate.
  • B. Gloria
    Gloria is a central character in the 2016 sci-fi dark comedy film "Colossal," where she discovers a mysterious connection between herself and a giant monster wreaking havoc in Seoul.
  • C. Gloria
    Gloria is a central human character in the 2023 film "Barbie," portrayed as a Mattel employee and mother whose personal struggles and imagination help bridge the real world with Barbie Land.
  • D. Gloria
    Gloria is a specific horse, likely recognized as an individual member of a larger group or stable of horses.
  • E. Gloria
    Gloria is an angelic character on the television series "Touched by an Angel," known for assisting Monica and Tess in delivering divine guidance to people in need.
  • 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684376408190a68890ab48fa5424 completed April 20, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08347d2330819088d865390a86d34c completed May 16, 2026, 9:10 a.m.
NEDg Description generation batch_6a083555576c8190ba5df77ef48aa975 completed May 16, 2026, 9:13 a.m.
NED2 Entity disambiguation (via description) batch_6a08360def9c8190b8a2d48814ee13c8 completed May 16, 2026, 9:17 a.m.
Created at: April 11, 2026, 11:35 p.m.