Triple

T11353763
Position Surface form Disambiguated ID Type / Status
Subject HMS Penelope (97) E268899 entity
Predicate nickname P55 FINISHED
Object Pepperpot
Pepperpot was the wartime nickname of the British Royal Navy light cruiser HMS Penelope, famed for her numerous shell holes and resilience in World War II.
 E920808 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: Pepperpot | Statement: [HMS Penelope (97), nickname, Pepperpot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pepperpot
Context triple: [HMS Penelope (97), nickname, Pepperpot]
  • A. Pfeffer
    Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • B. The Pepperpot
    The Pepperpot is a distinctive octagonal former town hall and market house that serves as an iconic historic landmark in the Surrey town of Godalming, England.
  • C. Pepper
    Pepper is a character romantically involved with Harry Bright in the story’s narrative.
  • D. Pepper
    Pepper is a common English surname borne by various notable individuals across fields such as medicine, politics, and the arts.
  • E. Berbeka
    Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • 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: Pepperpot
Triple: [HMS Penelope (97), nickname, Pepperpot]
Generated description
Pepperpot was the wartime nickname of the British Royal Navy light cruiser HMS Penelope, famed for her numerous shell holes and resilience in World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pepperpot
Target entity description: Pepperpot was the wartime nickname of the British Royal Navy light cruiser HMS Penelope, famed for her numerous shell holes and resilience in World War II.
  • A. Pfeffer
    Pfeffer is a German-origin surname borne by various notable individuals across fields such as academia, politics, and the arts.
  • B. The Pepperpot
    The Pepperpot is a distinctive octagonal former town hall and market house that serves as an iconic historic landmark in the Surrey town of Godalming, England.
  • C. Pepper
    Pepper is a character romantically involved with Harry Bright in the story’s narrative.
  • D. Pepper
    Pepper is a common English surname borne by various notable individuals across fields such as medicine, politics, and the arts.
  • E. Berbeka
    Berbeka is a Polish surname most notably associated with high-altitude mountaineer Maciej Berbeka.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea404e0c8190befe349b45918b38 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.