Triple

T7751804
Position Surface form Disambiguated ID Type / Status
Subject Sir Manley Power E175781 entity
Predicate namedAfter P63 FINISHED
Object Manley Power
Manley Power was a British Army officer and general noted for his service during the Napoleonic Wars.
 E685631 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: Manley Power | Statement: [Sir Manley Power, namedAfter, Manley Power]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manley Power
Context triple: [Sir Manley Power, namedAfter, Manley Power]
  • A. Ingersoll
    Ingersoll is a small industrial town in southwestern Ontario, Canada, known for its manufacturing sector and proximity to major transportation routes.
  • B. Hillman
    Hillman is a residential suburb in the City of Rockingham within the Perth metropolitan region of Western Australia.
  • C. Hillman
    Hillman is a surname of English and Ashkenazic Jewish origin borne by various notable individuals across politics, labor leadership, academia, and the arts.
  • D. Perkins
    Perkins is a common English surname borne by numerous notable individuals across politics, arts, sports, and academia.
  • E. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • 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: Manley Power
Triple: [Sir Manley Power, namedAfter, Manley Power]
Generated description
Manley Power was a British Army officer and general noted for his service during the Napoleonic Wars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manley Power
Target entity description: Manley Power was a British Army officer and general noted for his service during the Napoleonic Wars.
  • A. Ingersoll
    Ingersoll is a small industrial town in southwestern Ontario, Canada, known for its manufacturing sector and proximity to major transportation routes.
  • B. Hillman
    Hillman is a residential suburb in the City of Rockingham within the Perth metropolitan region of Western Australia.
  • C. Hillman
    Hillman is a surname of English and Ashkenazic Jewish origin borne by various notable individuals across politics, labor leadership, academia, and the arts.
  • D. Perkins
    Perkins is a common English surname borne by numerous notable individuals across politics, arts, sports, and academia.
  • E. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • 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_69c6996180088190832e38e8d83ff54a completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703b382588190ad8dc7138987829a completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be576274819092e5ebdbcf2361da completed March 29, 2026, 5:53 a.m.
NEDg Description generation batch_69c8bf141c8081908c33dab4d90943b0 completed March 29, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69c8bf8c4bdc81909c74f7b4ec524177 completed March 29, 2026, 5:58 a.m.
Created at: March 27, 2026, 4:08 p.m.