Triple

T8948448
Position Surface form Disambiguated ID Type / Status
Subject Robert Knox E213282 entity
Predicate shipServedOn P12804 FINISHED
Object Anne
Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
 E768462 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: Anne | Statement: [Robert Knox, shipServedOn, Anne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anne
Context triple: [Robert Knox, shipServedOn, Anne]
  • A. Anne
    Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
  • B. Anne
    Anne is the birth name of Nancy Reagan, the former First Lady of the United States and wife of President Ronald Reagan.
  • C. Anne
    Anne is a female given name of Hebrew origin, commonly used in many European languages and historically borne by numerous queens, saints, and notable women.
  • D. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five adventure series, known for her kindness, domestic sense, and cautious nature.
  • E. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her kindness, domestic sense, and participation in the group’s adventurous mysteries.
  • 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: Anne
Triple: [Robert Knox, shipServedOn, Anne]
Generated description
Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anne
Target entity description: Anne was the ship on which the 17th-century English sailor and later Ceylon captive Robert Knox served during his voyages.
  • A. Anne
    Anne was the Queen of Great Britain and Ireland from 1702 to 1714, the last monarch of the House of Stuart.
  • B. Anne
    Anne is one of the child protagonists in Enid Blyton’s Famous Five series, known for her cautious nature and love of home comforts during the group’s adventures.
  • C. Anne
    Anne is one of the central child protagonists in Enid Blyton’s Famous Five series, known for her kindness, domestic sense, and participation in the group’s adventurous mysteries.
  • D. Anne
    Anne is traditionally revered in Christian tradition as the mother of the Virgin Mary and the grandmother of Jesus.
  • E. Anne
    Anne is a female given name of Hebrew origin, commonly used in many European languages and historically borne by numerous queens, saints, and notable women.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc27bae88819094bcfdf10e89018b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc61d26fc8190817b430cb6fa9646 completed April 3, 2026, 1:52 p.m.
Created at: March 30, 2026, 6:59 p.m.