Triple

T11824617
Position Surface form Disambiguated ID Type / Status
Subject Rikki-Tikki-Tavi E281226 entity
Predicate kills P19780 FINISHED
Object Karait
Karait is a small but deadly brown snake in Rudyard Kipling’s “Rikki-Tikki-Tavi,” known as one of the venomous antagonists threatening the human family.
E948474 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: Karait | Statement: [Rikki-Tikki-Tavi, kills, Karait]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karait
Context triple: [Rikki-Tikki-Tavi, kills, Karait]
  • A. Kasari
    Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
  • B. Kerevat
    Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
  • C. Kare
    Kare is an alternate name for the Cari language, an indigenous language of the Cariban family spoken in parts of South America.
  • D. Karam
    Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
  • E. Karao
    Karao is an Austronesian language spoken by a small indigenous community 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: Karait
Triple: [Rikki-Tikki-Tavi, kills, Karait]
Generated description
Karait is a small but deadly brown snake in Rudyard Kipling’s “Rikki-Tikki-Tavi,” known as one of the venomous antagonists threatening the human family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karait
Target entity description: Karait is a small but deadly brown snake in Rudyard Kipling’s “Rikki-Tikki-Tavi,” known as one of the venomous antagonists threatening the human family.
  • A. Kasari
    Kasari is a town located on Amami Ōshima in Japan’s Kagoshima Prefecture, known for its subtropical island scenery and coastal environment.
  • B. Kerevat
    Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
  • C. Kare
    Kare is an alternate name for the Cari language, an indigenous language of the Cariban family spoken in parts of South America.
  • D. Karam
    Karam is a given name commonly used in South Asian and Middle Eastern cultures, often associated with meanings of generosity and nobility.
  • E. Karao
    Karao is an Austronesian language spoken by a small indigenous community in the Philippines.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5eb299481909de3c0e85628fbe4 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f131f4e2ec8190a78c101e17eaa5c0 completed April 28, 2026, 10:17 p.m.
NEDg Description generation batch_69f14e8ada3481908ec456c41827160c completed April 29, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_69f1571e4ba08190824db812ffc5f35a completed April 29, 2026, 12:55 a.m.
Created at: April 8, 2026, 9:43 p.m.