Triple
T11171213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galaxy Quest |
E264276
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Fred Kwan
Fred Kwan is a laid-back, deadpan engineer and former TV star from the sci-fi comedy film "Galaxy Quest," known for his calm demeanor and unexpected heroism.
|
E908903
|
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: Fred Kwan | Statement: [Galaxy Quest, mainCharacter, Fred Kwan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fred Kwan Context triple: [Galaxy Quest, mainCharacter, Fred Kwan]
-
A.
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.
-
B.
Michael Chow
Michael Chow is a Chinese-born British restaurateur, actor, and art collector best known as the founder of the upscale Mr Chow restaurant chain.
-
C.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
D.
Amy Chow
Amy Chow is an American artistic gymnast and Olympic gold medalist best known as a member of the 1996 U.S. women's "Magnificent Seven" team.
-
E.
Diana M. Pho
Diana M. Pho is an American speculative fiction editor and producer known for her award-winning work in long-form science fiction and fantasy publishing.
- 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: Fred Kwan Triple: [Galaxy Quest, mainCharacter, Fred Kwan]
Generated description
Fred Kwan is a laid-back, deadpan engineer and former TV star from the sci-fi comedy film "Galaxy Quest," known for his calm demeanor and unexpected heroism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fred Kwan Target entity description: Fred Kwan is a laid-back, deadpan engineer and former TV star from the sci-fi comedy film "Galaxy Quest," known for his calm demeanor and unexpected heroism.
-
A.
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.
-
B.
Michael Chow
Michael Chow is a Chinese-born British restaurateur, actor, and art collector best known as the founder of the upscale Mr Chow restaurant chain.
-
C.
Ken Kao
Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
-
D.
Amy Chow
Amy Chow is an American artistic gymnast and Olympic gold medalist best known as a member of the 1996 U.S. women's "Magnificent Seven" team.
-
E.
Diana M. Pho
Diana M. Pho is an American speculative fiction editor and producer known for her award-winning work in long-form science fiction and fantasy publishing.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.