Triple
T16105983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Better Luck Tomorrow |
E390738
|
entity |
| Predicate | characterPortrayedBy |
P1507
|
FINISHED |
| Object | Han Lue – Sung Kang |
E268557
|
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: Han Lue – Sung Kang | Statement: [Better Luck Tomorrow, characterPortrayedBy, Han Lue – Sung Kang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Han Lue – Sung Kang Context triple: [Better Luck Tomorrow, characterPortrayedBy, Han Lue – Sung Kang]
-
A.
Sung Kang
chosen
Sung Kang is an American actor best known for his role as Han Lue in the Fast & Furious film franchise.
-
B.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
C.
Jae Lee
Jae Lee is a distinctive comic book artist known for his dark, atmospheric style on titles such as Marvel’s Inhumans and various Batman and Superman projects.
-
D.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
E.
Young Chang
Young Chang is a South Korean musical instrument manufacturer best known for producing pianos and owning the Kurzweil brand of digital keyboards and synthesizers.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a16acc8190be9ed181c7a44def |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.