Triple
T22767598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legacy of Rage |
E563169
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mang Hoi |
—
|
NE NERFINISHED |
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: Mang Hoi | Statement: [Legacy of Rage, starring, Mang Hoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mang Hoi Context triple: [Legacy of Rage, starring, Mang Hoi]
-
A.
Mang Hoi
chosen
Mang Hoi is a Hong Kong actor and action choreographer known for his roles in martial arts and action films, particularly during the 1980s.
-
B.
Cua Lo
Cua Lo is a coastal town in north-central Vietnam known for its long sandy beaches and role as a popular seaside tourist destination.
-
C.
Mangseng
Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
-
D.
Tangsir
Tangsir is a classic Iranian film, based on Sadegh Chubak’s novel, that portrays themes of honor, resistance, and social justice in southern Iran.
-
E.
Boi-ngo
Boi-ngo is a 1987 studio album by American new wave band Oingo Boingo, showcasing their blend of rock, ska, and quirky, theatrical pop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a81d3348190b005a43a5e03d406 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.