Triple
T22846201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngo Dinh Luyen |
E566224
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Luyen
Luyen is the given name of Ngo Dinh Luyen, a member of the prominent South Vietnamese Ngo Dinh political family.
|
E1556614
|
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: Luyen | Statement: [Ngo Dinh Luyen, givenName, Luyen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luyen Context triple: [Ngo Dinh Luyen, givenName, Luyen]
-
A.
Luenell
Luenell is an American comedian and actress best known for her bold, irreverent stand-up and memorable supporting roles in film and television.
-
B.
Luuq
Luuq is a historic town in southwestern Somalia known for its strategic location on a bend of the Jubba River and its role as a regional trading center.
-
C.
Lan
Lan is the given name of Lan Samantha Chang, an American writer and director of the Iowa Writers’ Workshop known for her fiction exploring Chinese American experiences.
-
D.
Lan
Lan is the courtesy name of Noble Consort Yi, a high-ranking imperial consort in the Qing dynasty court of China.
-
E.
Leng
Leng is a mysterious, jungle-covered island in the far eastern reaches of the world of A Song of Ice and Fire, known for its ancient ruins, strange native peoples, and connections to eldritch lore.
- 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: Luyen Triple: [Ngo Dinh Luyen, givenName, Luyen]
Generated description
Luyen is the given name of Ngo Dinh Luyen, a member of the prominent South Vietnamese Ngo Dinh political family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luyen Target entity description: Luyen is the given name of Ngo Dinh Luyen, a member of the prominent South Vietnamese Ngo Dinh political family.
-
A.
Luenell
Luenell is an American comedian and actress best known for her bold, irreverent stand-up and memorable supporting roles in film and television.
-
B.
Luuq
Luuq is a historic town in southwestern Somalia known for its strategic location on a bend of the Jubba River and its role as a regional trading center.
-
C.
Lan
Lan is the given name of Lan Samantha Chang, an American writer and director of the Iowa Writers’ Workshop known for her fiction exploring Chinese American experiences.
-
D.
Lan
Lan is the courtesy name of Noble Consort Yi, a high-ranking imperial consort in the Qing dynasty court of China.
-
E.
Leng
Leng is a mysterious, jungle-covered island in the far eastern reaches of the world of A Song of Ice and Fire, known for its ancient ruins, strange native peoples, and connections to eldritch lore.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e88fb408190a58c91486ea65169 |
completed | April 29, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b9d5888190a3c94d87904a24e2 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8bb77bc81909c5422f9d73c1e70 |
completed | May 19, 2026, 12:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba94752c48190a8892cac5ef862b2 |
completed | May 19, 2026, 12:05 a.m. |
Created at: April 17, 2026, 3:36 p.m.