Triple
T12944670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monique Truong |
E309729
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Monique Truong |
E309729
|
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: Monique Truong | Statement: [Monique Truong, name, Monique Truong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monique Truong Context triple: [Monique Truong, name, Monique Truong]
-
A.
Monique Truong
chosen
Monique Truong is a Vietnamese American novelist and essayist best known for her critically acclaimed works exploring themes of identity, diaspora, and memory.
-
B.
Diane Nguyen
Diane Nguyen is a thoughtful, socially conscious Vietnamese-American writer and one of the main characters in the animated series "BoJack Horseman."
-
C.
Ngoc Le
Ngoc Le is an actor known for appearing in Stanley Kubrick’s Vietnam War film "Full Metal Jacket."
-
D.
Trinh Tran
Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
-
E.
Diana M. Pho
Diana M. Pho is an American speculative fiction editor and producer known for her award-winning work in long-form science fiction and fantasy publishing.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e1b3694819098527dcea3cfed93 |
completed | April 10, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af73e6348190be114e8c5ad181bf |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 9, 2026, 5:43 p.m.