Triple
T12668750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worf |
E302622
|
entity |
| Predicate | homeworld |
P2102
|
FINISHED |
| Object |
Qo'noS
Qo'noS is the Klingon homeworld in the Star Trek universe, known for its warrior culture and as the seat of the Klingon Empire.
|
E994431
|
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: Qo'noS | Statement: [Worf, homeworld, Qo'noS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qo'noS Context triple: [Worf, homeworld, Qo'noS]
-
A.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
B.
Kono
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
-
C.
Qwaraña
Qwaraña is an alternative name for the Qwara language, a lesser-known Afroasiatic language historically spoken by the Beta Israel (Ethiopian Jewish) community in Ethiopia.
-
D.
Konedobu
Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
-
E.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
- 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: Qo'noS Triple: [Worf, homeworld, Qo'noS]
Generated description
Qo'noS is the Klingon homeworld in the Star Trek universe, known for its warrior culture and as the seat of the Klingon Empire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Qo'noS Target entity description: Qo'noS is the Klingon homeworld in the Star Trek universe, known for its warrior culture and as the seat of the Klingon Empire.
-
A.
Kono
Kono is a major Mande language spoken primarily in parts of West Africa, notably in Sierra Leone and neighboring regions.
-
B.
Kono
Kono is a Japanese surname most prominently associated with politician Taro Kono, a leading figure in contemporary Japanese politics.
-
C.
Qwaraña
Qwaraña is an alternative name for the Qwara language, a lesser-known Afroasiatic language historically spoken by the Beta Israel (Ethiopian Jewish) community in Ethiopia.
-
D.
Konedobu
Konedobu is a suburb of Port Moresby in Papua New Guinea, known for housing many government offices and administrative facilities.
-
E.
Konerko
Konerko is the surname of Paul Konerko, a former Major League Baseball first baseman best known for his long tenure and leadership with the Chicago White Sox.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96183a6048190b2ef219eb9d20aa4 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688bfc048190970d281e66c34cdc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f6695372688190b09a2bb2e58cb546 |
completed | May 2, 2026, 9:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f669fe4bc48190adba50ad58b10c45 |
completed | May 2, 2026, 9:17 p.m. |
Created at: April 9, 2026, 5:20 p.m.