Triple
T17069924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Assassins |
E414188
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | JuJu Chan |
E380854
|
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: JuJu Chan | Statement: [Wu Assassins, starring, JuJu Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JuJu Chan Context triple: [Wu Assassins, starring, JuJu Chan]
-
A.
JuJu Chan
chosen
JuJu Chan is a Hong Kong-American actress and martial artist known for her action roles in film and television, often drawing comparisons to Bruce Lee.
-
B.
Jun-ya
Jun-ya is a Japanese given name typically used for males, with various possible kanji writings that convey different meanings.
-
C.
Yuta Watase
Yuta Watase is a Japanese ski jumper who has competed internationally as a member of Japan’s national team.
-
D.
Yuta Tabuse
Yuta Tabuse is a Japanese professional basketball point guard best known as the first Japanese-born player to appear in an NBA regular-season game.
-
E.
Yuta Nakamura
Yuta Nakamura is a Japanese individual notable enough to be recognized as a prominent bearer of the Nakamura surname.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01235278d48190bacc7881b9eb1ea1 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.