Triple

T9852107
Position Surface form Disambiguated ID Type / Status
Subject Kalé E239492 entity
Predicate alsoKnownAs P39 FINISHED
Object Cale
Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
 E824973 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: Cale | Statement: [Kalé, alsoKnownAs, Cale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cale
Context triple: [Kalé, alsoKnownAs, Cale]
  • A. Cavadee
    Cavadee is a vibrant Tamil Hindu festival in Mauritius marked by elaborate body piercings, colorful wooden kavadi offerings, and processions to temples in devotion to Lord Murugan.
  • B. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • C. Cairon
    Cairon is a small commune in the Calvados department of the Normandy region in northwestern France.
  • D. Calare
    Calare is an Australian federal electoral division in New South Wales, encompassing a large rural and regional area in the state's central west.
  • E. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • 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: Cale
Triple: [Kalé, alsoKnownAs, Cale]
Generated description
Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cale
Target entity description: Cale is a given name used for people and fictional characters, often as a variant of Kale or short form of names like Caleb.
  • A. Cavadee
    Cavadee is a vibrant Tamil Hindu festival in Mauritius marked by elaborate body piercings, colorful wooden kavadi offerings, and processions to temples in devotion to Lord Murugan.
  • B. Keally
    Keally is a surname most notably associated with Francis Keally, an American architect active in the early to mid-20th century.
  • C. Cairon
    Cairon is a small commune in the Calvados department of the Normandy region in northwestern France.
  • D. Calare
    Calare is an Australian federal electoral division in New South Wales, encompassing a large rural and regional area in the state's central west.
  • E. Kahle
    Kahle is a surname most notably associated with Brewster Kahle, the American computer engineer and digital librarian who founded the Internet Archive.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb375ba448190a32cca2b0f376ac1 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6a385ac8190b5dd11adfbb7578d completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d75210f4819096ee05a8b870581e completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:34 p.m.