Triple
T11003116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sequence to Sequence Learning with Neural Networks |
E260048
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Quoc V. Le |
E46144
|
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: Quoc V. Le | Statement: [Sequence to Sequence Learning with Neural Networks, author, Quoc V. Le]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quoc V. Le Context triple: [Sequence to Sequence Learning with Neural Networks, author, Quoc V. Le]
-
A.
Quoc V. Le
chosen
Quoc V. Le is a prominent computer scientist and AI researcher known for his influential work in deep learning and large-scale machine learning at Google.
-
B.
Hiep Thi Le
Hiep Thi Le was a Vietnamese-American actress best known for her breakout leading role in Oliver Stone’s 1993 film "Heaven & Earth."
-
C.
David H. Tu
David H. Tu is a biotechnology entrepreneur best known as a founder of the DNA sequencing company Pacific Biosciences.
-
D.
Oanh Nguyen
Oanh Nguyen is an actor known for appearing in the film "Two Brothers."
-
E.
Andrew T. Hsu
Andrew T. Hsu is an academic leader and engineer who serves as the president of the College of Charleston.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:25 p.m.