Triple
T9502852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tran Huy Lieu |
E229185
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tran |
E516416
|
NE FINISHED |
How this triple was built (2 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: Tran | Statement: [Tran Huy Lieu, familyName, Tran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tran Context triple: [Tran Huy Lieu, familyName, Tran]
-
A.
Tran
chosen
Tran is a personal name, commonly used as both a given name and surname in various cultures, particularly in East and Southeast Asia.
-
B.
Transtu
Transtu is the public transport authority in Tunis responsible for operating the city’s metro and other urban transit services.
-
C.
Tran Ho
Tran Ho is a Vietnamese American physician best known as the wife of comedian and actor Ken Jeong, whose medical career and battle with breast cancer have been publicly discussed by her husband.
-
D.
Xuan Truong
Xuan Truong is a township in Nam Định Province, Vietnam, serving as the administrative and economic center of Xuan Truong District.
-
E.
Thieu
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca847611c48190a28c028644198c75 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983ea6048190a2d7924c8e6d1fbc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a10f7b08190b8e4d4bc3b9815c6 |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.