Triple

T15542676
Position Surface form Disambiguated ID Type / Status
Subject George Pomeroy Colley E370520 entity
Predicate middleName P143 FINISHED
Object Pomeroy
Pomeroy is a surname of English origin that appears as the middle name of the British Army officer George Pomeroy Colley.
 E1163332 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: Pomeroy | Statement: [George Pomeroy Colley, middleName, Pomeroy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pomeroy
Context triple: [George Pomeroy Colley, middleName, Pomeroy]
  • A. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • B. Pomeroy
    Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
  • C. Wentworthe
    Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
  • D. Quinsey
    Quinsey is an alternative given name or spelling variant of the name Quincy.
  • E. Tallmadge
    Tallmadge is a small city in northeastern Ohio known for its historic town square and role as a suburb within the Akron metropolitan area.
  • 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: Pomeroy
Triple: [George Pomeroy Colley, middleName, Pomeroy]
Generated description
Pomeroy is a surname of English origin that appears as the middle name of the British Army officer George Pomeroy Colley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pomeroy
Target entity description: Pomeroy is a surname of English origin that appears as the middle name of the British Army officer George Pomeroy Colley.
  • A. Pomeroy
    Pomeroy is a small village in County Tyrone, Northern Ireland, known for its rural setting and surrounding upland landscapes.
  • B. Pomeroy
    Pomeroy is a small rural town in KwaZulu-Natal, South Africa, known for its Zulu cultural heritage and agricultural surroundings.
  • C. Wentworthe
    Wentworthe is an alternative historical or variant spelling of the English surname Wentworth.
  • D. Quinsey
    Quinsey is an alternative given name or spelling variant of the name Quincy.
  • E. Tallmadge
    Tallmadge is a small city in northeastern Ohio known for its historic town square and role as a suburb within the Akron metropolitan area.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04432c3808190bb5b653bf8de30c6 completed April 16, 2026, 2:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4558677881908704ac86c12e1fc4 completed May 9, 2026, 2:31 p.m.
NEDg Description generation batch_69ff468d1db88190ad71bc6780df5439 completed May 9, 2026, 2:37 p.m.
NED2 Entity disambiguation (via description) batch_69ff472fb24c8190912755bd95ef50c9 completed May 9, 2026, 2:39 p.m.
Created at: April 10, 2026, 4:07 a.m.