Triple
T6463589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romeo Must Die |
E142178
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jet Li |
E296891
|
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: Jet Li | Statement: [Romeo Must Die, starring, Jet Li]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jet Li Context triple: [Romeo Must Die, starring, Jet Li]
-
A.
Jet Li
chosen
Jet Li is a Chinese-born martial artist and actor renowned for his high-impact roles in Hong Kong and Hollywood action films such as "Once Upon a Time in China," "Fist of Legend," and "Hero."
-
B.
Chow Yun-fat
Chow Yun-fat is a renowned Hong Kong actor celebrated for his charismatic performances in action and drama films such as "A Better Tomorrow" and "Crouching Tiger, Hidden Dragon."
-
C.
Gordon Liu
Gordon Liu is a renowned Hong Kong martial arts actor and kung fu film star, best known for classics like "The 36th Chamber of Shaolin" and his roles in Quentin Tarantino's "Kill Bill" films.
-
D.
Donnie Yen
Donnie Yen is a renowned Hong Kong actor and martial artist celebrated for his dynamic action roles and innovative fight choreography in films such as the Ip Man series.
-
E.
Zhang Hanyu
Zhang Hanyu is a Chinese actor known for his powerful performances in films such as "Assembly" and "The Taking of Tiger Mountain."
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069f9b58081909412b9da753b9285 |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64be78ae48190b38390ed245694fb |
completed | March 27, 2026, 9:20 a.m. |
Created at: March 22, 2026, 4:49 p.m.