Triple

T19829737
Position Surface form Disambiguated ID Type / Status
Subject Cayden E476422 entity
Predicate hasSpellingVariant P457 FINISHED
Object Caidan
Caidan is a given name, typically used for boys, that is a spelling variant of the name Cayden.
E1396414 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: Caidan | Statement: [Cayden, hasSpellingVariant, Caidan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caidan
Context triple: [Cayden, hasSpellingVariant, Caidan]
  • A. Caíde
    Caíde is a railway station in northern Portugal that serves as a key stop on the Linha do Marco (Marco line).
  • B. Râches
    Râches is a small commune in northern France’s Nord department, situated within the industrial and historical region around Douai.
  • C. Tjenenyet
    Tjenenyet is an ancient Egyptian goddess associated with protection and often linked to the war god Montu as his consort.
  • D. Ciladas
    Ciladas is a small village in the municipality of Vila Viçosa, located in Portugal’s Alentejo region.
  • E. The Accursed
    The Accursed is a Gothic historical novel by Joyce Carol Oates that blends supernatural horror with social and political commentary in early 20th-century Princeton, New Jersey.
  • 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: Caidan
Triple: [Cayden, hasSpellingVariant, Caidan]
Generated description
Caidan is a given name, typically used for boys, that is a spelling variant of the name Cayden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caidan
Target entity description: Caidan is a given name, typically used for boys, that is a spelling variant of the name Cayden.
  • A. Caíde
    Caíde is a railway station in northern Portugal that serves as a key stop on the Linha do Marco (Marco line).
  • B. Râches
    Râches is a small commune in northern France’s Nord department, situated within the industrial and historical region around Douai.
  • C. Tjenenyet
    Tjenenyet is an ancient Egyptian goddess associated with protection and often linked to the war god Montu as his consort.
  • D. Ciladas
    Ciladas is a small village in the municipality of Vila Viçosa, located in Portugal’s Alentejo region.
  • E. The Accursed
    The Accursed is a Gothic historical novel by Joyce Carol Oates that blends supernatural horror with social and political commentary in early 20th-century Princeton, New Jersey.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656ccd3748190adeaed9a431f8979 completed April 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccd7da0c8190a101747611ab17ee completed May 16, 2026, 1:48 a.m.
NEDg Description generation batch_6a07cd3cc44081909eea344aa5ea2441 completed May 16, 2026, 1:49 a.m.
NED2 Entity disambiguation (via description) batch_6a07cd9bb104819091375260e98d657e completed May 16, 2026, 1:51 a.m.
Created at: April 10, 2026, 1:50 p.m.