Triple

T36414258
Position Surface form Disambiguated ID Type / Status
Subject Hertford Union Canal E896961 entity
Predicate originalPromoter P204866 FINISHED
Object Sir George Duckett
Sir George Duckett was a British politician and landowner known for his involvement in early 19th-century canal enterprises and infrastructure development.
 E2184400 NE FINISHED

How this triple was built (3 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: Sir George Duckett | Statement: [Hertford Union Canal, originalPromoter, Sir George Duckett]
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: Sir George Duckett
Triple: [Hertford Union Canal, originalPromoter, Sir George Duckett]
Generated description
Sir George Duckett was a British politician and landowner known for his involvement in early 19th-century canal enterprises and infrastructure development.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: originalPromoter
Context triple: [Hertford Union Canal, originalPromoter, Sir George Duckett]
  • A. formerPromoter
    Indicates that an entity once served as a promoter of another entity but no longer holds that role.
  • B. originalPromotion
    Indicates that one entity is the initial or primary promotion from which another promotion, offer, or campaign is derived or related.
  • C. usesPromoter
    Indicates that one entity employs or relies on another entity as a promoter to drive or regulate its activity.
  • D. originalSponsor
    Indicates that one entity is the initial or primary sponsor responsible for supporting, funding, or backing another entity or activity.
  • E. laterPromoter
    Indicates that one promoter occurs or becomes active at a later time than another promoter in a regulatory or temporal sequence.
  • F. None of above. chosen

Provenance (7 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_69f76e54ce408190849acc3f7758937c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a037c92f03c8190ae2751270b195423 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39c40801448190a9f0bf67d621ddc1 completed June 22, 2026, 11:23 p.m.
NEDg Description generation batch_6a39c6208b8081908c69eed0cc8c0a13 completed June 22, 2026, 11:32 p.m.
NED2 Entity disambiguation (via description) batch_6a39c91128dc8190add6788dcc8a9f54 completed June 22, 2026, 11:45 p.m.
PD Predicate disambiguation batch_6a037a0a54cc8190868c1bfa1590d1a6 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:10 p.m.