Triple

T9815097
Position Surface form Disambiguated ID Type / Status
Subject Philip Mannering E238382 entity
Predicate familyName P18 FINISHED
Object Mannering
Mannering is an English-language surname of British origin borne by various notable individuals across fields such as literature, politics, and sports.
 E823588 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: Mannering | Statement: [Philip Mannering, familyName, Mannering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mannering
Context triple: [Philip Mannering, familyName, Mannering]
  • A. Mannum
    Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
  • B. Lundie
    Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
  • C. Munnings
    Munnings is the surname of Alfred Munnings, a renowned English painter celebrated for his depictions of horses and rural life.
  • D. Mannam
    Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
  • E. Manney
    Manney is the family name of American stage and film actress Helen Westley.
  • 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: Mannering
Triple: [Philip Mannering, familyName, Mannering]
Generated description
Mannering is an English-language surname of British origin borne by various notable individuals across fields such as literature, politics, and sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mannering
Target entity description: Mannering is an English-language surname of British origin borne by various notable individuals across fields such as literature, politics, and sports.
  • A. Mannum
    Mannum is a historic riverside town in South Australia's Murraylands region, known for its paddle-steamer heritage and role in early river trade along the Murray River.
  • B. Lundie
    Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
  • C. Munnings
    Munnings is the surname of Alfred Munnings, a renowned English painter celebrated for his depictions of horses and rural life.
  • D. Mannam
    Mannam is a musical composition by Mexican composer Javier Álvarez, known for his innovative use of contemporary techniques and often electroacoustic elements.
  • E. Manney
    Manney is the family name of American stage and film actress Helen Westley.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f19660819083e3f15780352052 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc67db68819093217c9a74e72fbf completed April 5, 2026, 2:43 a.m.
NEDg Description generation batch_69d1ccf59c68819082b4aa37e06d2aaf completed April 5, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69d1d0d945d48190b56b7fd2ce568a13 completed April 5, 2026, 3:02 a.m.
Created at: March 30, 2026, 8:30 p.m.