Triple

T6842245
Position Surface form Disambiguated ID Type / Status
Subject Lon Nol E157800 entity
Predicate givenName P17 FINISHED
Object Nol
Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
E623862 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: Nol | Statement: [Lon Nol, givenName, Nol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nol
Context triple: [Lon Nol, givenName, Nol]
  • A. نول
    نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
  • B. Noll
    Noll is a surname most prominently associated with Chuck Noll, the legendary head coach who led the Pittsburgh Steelers to four Super Bowl titles.
  • C. Nulvi
    Nulvi is a small town and comune in the province of Sassari on the Italian island of Sardinia, known for its rural traditions and scenic hilly landscape.
  • D. Nobol
    Nobol is a small town and canton in coastal Ecuador known for its religious significance as the birthplace of Saint Narcisa de Jesús.
  • E. Noth
    Noth is a surname most prominently associated with American actor Chris Noth, known for his roles in television series such as "Sex and the City" and "Law & Order."
  • 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: Nol
Triple: [Lon Nol, givenName, Nol]
Generated description
Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nol
Target entity description: Nol is the given name of Lon Nol, the Cambodian military leader and politician who served as Prime Minister and later led the Khmer Republic in the early 1970s.
  • A. نول
    نول هي بطاقة ذكية تستخدم كوسيلة دفع إلكترونية في وسائل النقل العام والبنية التحتية المرتبطة بها في إمارة دبي.
  • B. Noll
    Noll is a surname most prominently associated with Chuck Noll, the legendary head coach who led the Pittsburgh Steelers to four Super Bowl titles.
  • C. Nulvi
    Nulvi is a small town and comune in the province of Sassari on the Italian island of Sardinia, known for its rural traditions and scenic hilly landscape.
  • D. Nobol
    Nobol is a small town and canton in coastal Ecuador known for its religious significance as the birthplace of Saint Narcisa de Jesús.
  • E. Noth
    Noth is a surname most prominently associated with American actor Chris Noth, known for his roles in television series such as "Sex and the City" and "Law & Order."
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d6b5f7648190ad8561caeb678932 completed March 27, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb9a8c08190993807f1a4c54184 completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c735e1d0c48190a3cec055d0eef053 completed March 28, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69c7363e2ae481908caceabfb27e3284 completed March 28, 2026, 2 a.m.
Created at: March 27, 2026, 2:19 p.m.