Triple

T11029195
Position Surface form Disambiguated ID Type / Status
Subject Mlima’s Tale E260713 entity
Predicate mainCharacter P1183 FINISHED
Object Mlima
Mlima is a majestic African elephant whose life and legacy are central to a powerful story about poaching and the global ivory trade.
 E899787 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: Mlima | Statement: [Mlima’s Tale, mainCharacter, Mlima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mlima
Context triple: [Mlima’s Tale, mainCharacter, Mlima]
  • A. Kiliwa
    Kiliwa is an indigenous people of northern Baja California, Mexico, known for their distinct Yuman language and traditional hunter-gatherer culture.
  • B. Muntei
    Muntei is a village in Indonesia’s Mentawai Islands that gained tragic prominence after being heavily impacted by the 2010 Mentawai earthquake and tsunami.
  • C. Kiliia
    Kiliia is a historic town in southwestern Ukraine situated on the Danube River near the border with Romania.
  • D. Mountains of the Moon
    Mountains of the Moon is the traditional name for the Rwenzori Mountains, a snow-capped range in East Africa historically associated with the source of the Nile.
  • E. Gora
    Gora is a mountainous border region in the Balkans known for its distinct Gorani Slavic Muslim community and shared cultural traditions across Kosovo, Albania, and North Macedonia.
  • 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: Mlima
Triple: [Mlima’s Tale, mainCharacter, Mlima]
Generated description
Mlima is a majestic African elephant whose life and legacy are central to a powerful story about poaching and the global ivory trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mlima
Target entity description: Mlima is a majestic African elephant whose life and legacy are central to a powerful story about poaching and the global ivory trade.
  • A. Kiliwa
    Kiliwa is an indigenous people of northern Baja California, Mexico, known for their distinct Yuman language and traditional hunter-gatherer culture.
  • B. Muntei
    Muntei is a village in Indonesia’s Mentawai Islands that gained tragic prominence after being heavily impacted by the 2010 Mentawai earthquake and tsunami.
  • C. Kiliia
    Kiliia is a historic town in southwestern Ukraine situated on the Danube River near the border with Romania.
  • D. Mountains of the Moon
    Mountains of the Moon is the traditional name for the Rwenzori Mountains, a snow-capped range in East Africa historically associated with the source of the Nile.
  • E. Gora
    Gora is a mountainous border region in the Balkans known for its distinct Gorani Slavic Muslim community and shared cultural traditions across Kosovo, Albania, and North Macedonia.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797d2feb881909a5684721e8b0d9c completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3753451e08190bc42ab99d01926f9 completed April 18, 2026, 12:12 p.m.
NEDg Description generation batch_69e37ab93e0881909d98f96073a55ae8 completed April 18, 2026, 12:36 p.m.
NED2 Entity disambiguation (via description) batch_69e37c97b34081908b274ff52a12d450 completed April 18, 2026, 12:44 p.m.
Created at: April 8, 2026, 9:25 p.m.