Triple
T10917064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icarus II |
E257850
|
entity |
| Predicate | notableCrewMember |
P21967
|
FINISHED |
| Object |
Kaneda
Kaneda is a fictional astronaut and the captain of the spacecraft Icarus II in the science fiction film "Sunshine."
|
E922503
|
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: Kaneda | Statement: [Icarus II, notableCrewMember, Kaneda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaneda Context triple: [Icarus II, notableCrewMember, Kaneda]
-
A.
Shinya
Shinya is a Japanese given name commonly used for males.
-
B.
Takehiro
Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
-
C.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
-
D.
Hiranuma
Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
E.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
- 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: Kaneda Triple: [Icarus II, notableCrewMember, Kaneda]
Generated description
Kaneda is a fictional astronaut and the captain of the spacecraft Icarus II in the science fiction film "Sunshine."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaneda Target entity description: Kaneda is a fictional astronaut and the captain of the spacecraft Icarus II in the science fiction film "Sunshine."
-
A.
Shinya
Shinya is a Japanese given name commonly used for males.
-
B.
Takehiro
Takehiro is a central character in Ryūnosuke Akutagawa’s short story “In a Grove,” whose ambiguous fate is revealed through conflicting eyewitness testimonies.
-
C.
Kenjirō
Kenjirō is a Japanese masculine given name that can be written with various kanji combinations and is borne by multiple notable individuals in fields such as sports, arts, and entertainment.
-
D.
Hiranuma
Hiranuma is a notable district within Nishi Ward in Yokohama, Japan, known as part of the city’s central urban area.
-
E.
Shinpei
Shinpei is a Japanese given name commonly used for males and borne by various notable figures in politics, arts, and entertainment.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7707deb608190903b1066e19600d3 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e55621a88c8190b9611bf9e3b307de |
completed | April 19, 2026, 10:24 p.m. |
| NEDg | Description generation | batch_69e566fbeaf081909aaf907d2e4d3d5d |
completed | April 19, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56d6a4050819094d7571bdf2f3747 |
completed | April 20, 2026, 12:03 a.m. |
Created at: April 8, 2026, 9:22 p.m.