Triple

T17389307
Position Surface form Disambiguated ID Type / Status
Subject Chelsea E422772 entity
Predicate associatedWith P37 FINISHED
Object Caius
Caius is a character or entity notably connected to Chelsea, often appearing in the same narrative or context.
 E1266519 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: Caius | Statement: [Chelsea, associatedWith, Caius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caius
Context triple: [Chelsea, associatedWith, Caius]
  • A. Caius
    Caius is one of the three ancient vampire rulers of the Volturi coven in the Twilight series, known for his cruelty and strict enforcement of vampire law.
  • B. Caius
    Caius is the Latinized name of Sir Kay, the legendary knight of King Arthur’s court in Arthurian mythology.
  • C. Caius
    Caius is a figure known primarily from his association with the Roman poet Sulpicia, often identified as her lover in Latin elegiac poetry.
  • D. Gaius
    Gaius is an early Christian believer and church member addressed personally and commended by the Apostle John in the New Testament.
  • E. Gaius
    Gaius was a prominent 2nd-century Roman jurist whose legal writings, especially his Institutes, significantly shaped later Roman and European legal traditions.
  • 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: Caius
Triple: [Chelsea, associatedWith, Caius]
Generated description
Caius is a character or entity notably connected to Chelsea, often appearing in the same narrative or context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caius
Target entity description: Caius is a character or entity notably connected to Chelsea, often appearing in the same narrative or context.
  • A. Caius
    Caius is one of the three ancient vampire rulers of the Volturi coven in the Twilight series, known for his cruelty and strict enforcement of vampire law.
  • B. Caius
    Caius is the Latinized name of Sir Kay, the legendary knight of King Arthur’s court in Arthurian mythology.
  • C. Caius
    Caius is a figure known primarily from his association with the Roman poet Sulpicia, often identified as her lover in Latin elegiac poetry.
  • D. Gaius
    Gaius was a prominent 2nd-century Roman jurist whose legal writings, especially his Institutes, significantly shaped later Roman and European legal traditions.
  • E. Gaius
    Gaius is an early Christian believer and church member addressed personally and commended by the Apostle John in the New Testament.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8c718c81909cb20749aaf12897 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019ffcfe508190a03907a3c0eafe2c completed May 11, 2026, 9:23 a.m.
NEDg Description generation batch_6a01a19785508190a759628553297053 completed May 11, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a01a1f98470819086142ef594a8a13f completed May 11, 2026, 9:31 a.m.
Created at: April 10, 2026, 5:45 a.m.