Triple
T13072277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hooligans |
E329484
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Kenji Chan
Kenji Chan is a musician best known as a member of Bruno Mars’s backing band, The Hooligans.
|
E1021001
|
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: Kenji Chan | Statement: [The Hooligans, hasMember, Kenji Chan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenji Chan Context triple: [The Hooligans, hasMember, Kenji Chan]
-
A.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
B.
James Hiroyuki Liao
James Hiroyuki Liao is an American actor known for his work in film, television, and voice acting, including roles in series like Prison Break and Barry.
-
C.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
D.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
E.
Benson Fong
Benson Fong was an American character actor best known for his roles in mid-20th-century Hollywood films, including several entries in the Charlie Chan series.
- 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: Kenji Chan Triple: [The Hooligans, hasMember, Kenji Chan]
Generated description
Kenji Chan is a musician best known as a member of Bruno Mars’s backing band, The Hooligans.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenji Chan Target entity description: Kenji Chan is a musician best known as a member of Bruno Mars’s backing band, The Hooligans.
-
A.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
B.
James Hiroyuki Liao
James Hiroyuki Liao is an American actor known for his work in film, television, and voice acting, including roles in series like Prison Break and Barry.
-
C.
Johnny Chiang
Johnny Chiang is a Taiwanese politician who has served as a prominent leader within the Kuomintang (KMT) party and as a legislator in Taiwan’s Legislative Yuan.
-
D.
Kenneth Hsu
Kenneth Hsu is a Swiss geologist and oceanographer known for his influential work on marine geology and the Messinian salinity crisis.
-
E.
Benson Fong
Benson Fong was an American character actor best known for his roles in mid-20th-century Hollywood films, including several entries in the Charlie Chan series.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d981160e388190bab942a2ded2903e |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d606ac6481908d18a288d5eed472 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6dae595908190b27980e48514cda5 |
completed | May 3, 2026, 5:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6db8f68a4819091d8e67d9c8eec81 |
completed | May 3, 2026, 5:22 a.m. |
Created at: April 9, 2026, 9 p.m.