Triple
T15386057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Hux |
E367917
|
entity |
| Predicate | homeworld |
P2102
|
FINISHED |
| Object |
Arkanis
Arkanis is a remote Outer Rim planet in the Star Wars universe, known for its Imperial military academy and harsh frontier conditions.
|
E1154692
|
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: Arkanis | Statement: [General Hux, homeworld, Arkanis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkanis Context triple: [General Hux, homeworld, Arkanis]
-
A.
Armant
Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
-
B.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
C.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
D.
Quarazza
Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
-
E.
Kallocain
Kallocain is a dystopian science fiction novel by Swedish author Karin Boye that portrays a totalitarian surveillance state and the psychological effects of absolute control.
- 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: Arkanis Triple: [General Hux, homeworld, Arkanis]
Generated description
Arkanis is a remote Outer Rim planet in the Star Wars universe, known for its Imperial military academy and harsh frontier conditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arkanis Target entity description: Arkanis is a remote Outer Rim planet in the Star Wars universe, known for its Imperial military academy and harsh frontier conditions.
-
A.
Armant
Armant is a city in Egypt’s Luxor Governorate, known for its ancient Egyptian heritage and archaeological sites.
-
B.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
C.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
D.
Quarazza
Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
-
E.
Kallocain
Kallocain is a dystopian science fiction novel by Swedish author Karin Boye that portrays a totalitarian surveillance state and the psychological effects of absolute control.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1349bad48190a31c50a0c5104128 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.