Triple

T11931768
Position Surface form Disambiguated ID Type / Status
Subject The Second Jungle Book E283930 entity
Predicate featuresCharacter P626 FINISHED
Object Hathi
Hathi is the wise old elephant and leader of the jungle’s elephant herd in Rudyard Kipling’s Jungle Book stories.
 E954707 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: Hathi | Statement: [The Second Jungle Book, featuresCharacter, Hathi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hathi
Context triple: [The Second Jungle Book, featuresCharacter, Hathi]
  • A. Guhila
    Guhila was a prominent Rajput royal lineage historically associated with the rulers of Mewar in present-day Rajasthan, India.
  • B. Kala Ghoda
    Kala Ghoda is a historic arts and cultural district in South Mumbai known for its galleries, heritage architecture, and the annual Kala Ghoda Arts Festival.
  • C. Dromara
    Dromara is a small village in County Down, Northern Ireland, known for its rural setting near the Slieve Croob hills.
  • D. Palas
    Palas is the main residential and ceremonial building within Nuremberg Castle, historically used as the living quarters and audience hall of the ruling nobility.
  • E. Palas
    Palas is a remote valley and settlement in Pakistan’s Kohistan region, known for its rugged terrain, rich biodiversity, and traditional mountain communities.
  • 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: Hathi
Triple: [The Second Jungle Book, featuresCharacter, Hathi]
Generated description
Hathi is the wise old elephant and leader of the jungle’s elephant herd in Rudyard Kipling’s Jungle Book stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hathi
Target entity description: Hathi is the wise old elephant and leader of the jungle’s elephant herd in Rudyard Kipling’s Jungle Book stories.
  • A. Guhila
    Guhila was a prominent Rajput royal lineage historically associated with the rulers of Mewar in present-day Rajasthan, India.
  • B. Kala Ghoda
    Kala Ghoda is a historic arts and cultural district in South Mumbai known for its galleries, heritage architecture, and the annual Kala Ghoda Arts Festival.
  • C. Dromara
    Dromara is a small village in County Down, Northern Ireland, known for its rural setting near the Slieve Croob hills.
  • D. Palas
    Palas is the main residential and ceremonial building within Nuremberg Castle, historically used as the living quarters and audience hall of the ruling nobility.
  • E. Palas
    Palas is a remote valley and settlement in Pakistan’s Kohistan region, known for its rugged terrain, rich biodiversity, and traditional mountain communities.
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90305015c81908edb0d9d3d012b2e completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4406ee910819093c72738bfe3f92c completed May 1, 2026, 5:55 a.m.
NEDg Description generation batch_69f448fc874081908fe05f9d8aff11a3 completed May 1, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f44afdc7b08190bdf47cfcb94c34c8 completed May 1, 2026, 6:41 a.m.
Created at: April 8, 2026, 9:45 p.m.