Triple

T464833
Position Surface form Disambiguated ID Type / Status
Subject Woodes Rogers E8420 entity
Predicate shipCommanded P884 FINISHED
Object Duke
Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
 E57948 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: Duke | Statement: [Woodes Rogers, shipCommanded, Duke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Duke
Context triple: [Woodes Rogers, shipCommanded, Duke]
  • A. Duke
    A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
  • B. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • C. The Duke
    The Duke is a con artist who, along with his partner the King, joins Huck and Jim on their journey and provides much of the novel’s satirical commentary on fraud and pretension.
  • D. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • E. Aldridge
    Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
  • 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: Duke
Triple: [Woodes Rogers, shipCommanded, Duke]
Generated description
Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Duke
Target entity description: Duke was a privateering ship commanded by English sea captain and privateer Woodes Rogers during his early 18th-century voyages.
  • A. Duke
    A duke is the highest hereditary noble title in the British peerage system below the monarch, historically associated with great landholdings and significant political influence.
  • B. Earl
    An Earl is a noble rank in the British and some European peerage systems, historically positioned below a marquess and above a viscount.
  • C. The Duke
    The Duke is a con artist who, along with his partner the King, joins Huck and Jim on their journey and provides much of the novel’s satirical commentary on fraud and pretension.
  • D. Cecil
    Cecil is a masculine given name most famously associated with pioneering American film director and producer Cecil B. DeMille.
  • E. Aldridge
    Aldridge is an English-origin surname borne by various notable individuals in fields such as sports, entertainment, and the arts.
  • 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_69a2e7f3aeb48190a19453e3a043f486 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efd5b6b48190ae23968135cf6417 completed Feb. 28, 2026, 1:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69a45297615881908011d248f1c8fd76 completed March 1, 2026, 2:52 p.m.
NEDg Description generation batch_69a453056b148190a731d421a79738b6 completed March 1, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_69a4538139bc819092cfe5ed6637953d completed March 1, 2026, 2:56 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.