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.