Triple
T18370597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bajorans |
E446170
|
entity |
| Predicate | resistanceCellExample |
P130856
|
FINISHED |
| Object |
Kohn-Ma
Kohn-Ma is a Bajoran resistance cell known for its militant opposition to Cardassian occupation in the Star Trek universe.
|
E1320742
|
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: Kohn-Ma | Statement: [Bajorans, resistanceCellExample, Kohn-Ma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kohn-Ma Context triple: [Bajorans, resistanceCellExample, Kohn-Ma]
-
A.
Kohn
Kohn is a surname shared by various notable individuals across fields such as science, arts, and public life.
-
B.
Kahn-Ackermann
Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
-
C.
Cohen-Kagan
Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
-
D.
Kac
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
-
E.
Kähler
Kähler is a German surname most notably associated with Erich Kähler, a mathematician known for his foundational work in differential geometry and complex manifolds.
- 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: Kohn-Ma Triple: [Bajorans, resistanceCellExample, Kohn-Ma]
Generated description
Kohn-Ma is a Bajoran resistance cell known for its militant opposition to Cardassian occupation in the Star Trek universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kohn-Ma Target entity description: Kohn-Ma is a Bajoran resistance cell known for its militant opposition to Cardassian occupation in the Star Trek universe.
-
A.
Kohn
Kohn is a surname shared by various notable individuals across fields such as science, arts, and public life.
-
B.
Kahn-Ackermann
Kahn-Ackermann is a German surname most notably borne by the politician and diplomat Georg Kahn-Ackermann.
-
C.
Cohen-Kagan
Cohen-Kagan is a Hebrew-language surname most notably borne by Israeli politician and women's rights activist Rachel Cohen-Kagan.
-
D.
Kac
Kac is a surname most notably associated with Polish-American mathematician Mark Kac, known for his work in probability theory and mathematical physics.
-
E.
Kähler
Kähler is a German surname most notably associated with Erich Kähler, a mathematician known for his foundational work in differential geometry and complex manifolds.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5175324e48190a00572e15423feb7 |
completed | April 19, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d77869e48190a7221d97c99dd2fd |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d831538881908117b180f6cb16da |
completed | May 13, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8b2a8208190a3c346db913cf58c |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:44 a.m.