Triple
T17025833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedicab Driver |
E413060
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Mang Hoi
Mang Hoi is a Hong Kong actor and action choreographer known for his roles in martial arts and action films, particularly during the 1980s.
|
E1246444
|
NE FINISHED |
How this triple was built (4 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: [Pedicab Driver, starring, Mang Hoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mang Hoi Context triple: [Pedicab Driver, starring, Mang Hoi]
-
A.
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.
-
B.
Mangseng
Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
-
C.
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.
-
D.
Se Kong
Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
-
E.
Singa
Singa is a city in southeastern Sudan that serves as the administrative and economic center of Sennar State along the Blue Nile.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mang Hoi Triple: [Pedicab Driver, starring, Mang Hoi]
Generated description
Mang Hoi is a Hong Kong actor and action choreographer known for his roles in martial arts and action films, particularly during the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mang Hoi Target entity description: Mang Hoi is a Hong Kong actor and action choreographer known for his roles in martial arts and action films, particularly during the 1980s.
-
A.
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.
-
B.
Mangseng
Mangseng is an Oceanic language spoken in parts of western Melanesia, belonging to the Western Oceanic branch of the Austronesian language family.
-
C.
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.
-
D.
Se Kong
Se Kong is a major river in Southeast Asia that flows through Laos, Vietnam, and Cambodia before joining the Mekong River.
-
E.
Singa
Singa is a city in southeastern Sudan that serves as the administrative and economic center of Sennar State along the Blue Nile.
- F. None of above. chosen
Provenance (5 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d46a5081908bc5681621dd8534 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b53306081908972a0a5db474b6c |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011cfb74b88190bbd5af862727790f |
completed | May 11, 2026, 12:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a011dad838c8190a1ea560680c9ca57 |
completed | May 11, 2026, 12:07 a.m. |
Created at: April 10, 2026, 5:33 a.m.