Triple

T5838984
Position Surface form Disambiguated ID Type / Status
Subject Dan Snow E129544 entity
Predicate notableWork P4 FINISHED
Object Empire of the Seas
Empire of the Seas is a historical television documentary series exploring the rise and dominance of the British Royal Navy.
 E551843 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: Empire of the Seas | Statement: [Dan Snow, notableWork, Empire of the Seas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Empire of the Seas
Context triple: [Dan Snow, notableWork, Empire of the Seas]
  • A. The Admiral
    The Admiral is a water-based amusement ride known for its presence at the infamous Action Park in New Jersey.
  • B. Treasure Fleet
    Treasure Fleet is an American rock band known for blending psychedelic, punk, and classic rock influences into melodic, harmony-rich songs.
  • C. Seven Seas
    Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
  • D. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • E. Follow the Fleet
    Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
  • 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: Empire of the Seas
Triple: [Dan Snow, notableWork, Empire of the Seas]
Generated description
Empire of the Seas is a historical television documentary series exploring the rise and dominance of the British Royal Navy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Empire of the Seas
Target entity description: Empire of the Seas is a historical television documentary series exploring the rise and dominance of the British Royal Navy.
  • A. The Admiral
    The Admiral is a water-based amusement ride known for its presence at the infamous Action Park in New Jersey.
  • B. Treasure Fleet
    Treasure Fleet is an American rock band known for blending psychedelic, punk, and classic rock influences into melodic, harmony-rich songs.
  • C. Seven Seas
    Seven Seas is a traditional maritime term referring to the world’s major seas and oceans collectively.
  • D. The Seafarers
    The Seafarers is a 1953 short documentary film and one of Stanley Kubrick’s early non-fiction works, focusing on the lives and organization of merchant seamen.
  • E. Follow the Fleet
    Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a572f52481908fc4f2a833fd8edf completed March 23, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0a5d17d5c8190a5fe816d29400894 completed March 23, 2026, 2:30 a.m.
Created at: March 22, 2026, 3:54 p.m.