Triple
T17866326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jadzia Dax |
E446713
|
entity |
| Predicate | previousHostOfSymbiont |
P46400
|
FINISHED |
| Object |
Emony Dax
Emony Dax was a past Trill host of the Dax symbiont, known for being an accomplished gymnast in the Star Trek universe.
|
E1291720
|
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: Emony Dax | Statement: [Jadzia Dax, previousHostOfSymbiont, Emony Dax]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emony Dax Context triple: [Jadzia Dax, previousHostOfSymbiont, Emony Dax]
-
A.
Dax
Dax is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and for hosting the podcast "Armchair Expert."
-
B.
Dax
Dax is a commune in southwestern France known for its thermal spas and historic Roman heritage.
-
C.
Xenith
Xenith is a sports equipment company best known for designing innovative, safety-focused football helmets and protective gear.
-
D.
Madisyn
Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
-
E.
Ajiona Alexus
Ajiona Alexus is an American actress known for her roles in film and television, including appearances in projects like "13 Reasons Why," "Empire," and the thriller "Breaking In."
- 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: Emony Dax Triple: [Jadzia Dax, previousHostOfSymbiont, Emony Dax]
Generated description
Emony Dax was a past Trill host of the Dax symbiont, known for being an accomplished gymnast in the Star Trek universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emony Dax Target entity description: Emony Dax was a past Trill host of the Dax symbiont, known for being an accomplished gymnast in the Star Trek universe.
-
A.
Dax
Dax is a commune in southwestern France known for its thermal spas and historic Roman heritage.
-
B.
Dax
Dax is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and for hosting the podcast "Armchair Expert."
-
C.
Xenith
Xenith is a sports equipment company best known for designing innovative, safety-focused football helmets and protective gear.
-
D.
Madisyn
Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
-
E.
Ajiona Alexus
Ajiona Alexus is an American actress known for her roles in film and television, including appearances in projects like "13 Reasons Why," "Empire," and the thriller "Breaking In."
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49793a2588190bb341ac606d767fe |
completed | April 19, 2026, 8:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a030c69cd608190b25002100fc0f9e3 |
completed | May 12, 2026, 11:18 a.m. |
| NEDg | Description generation | batch_6a030ce6e0248190854acf6ad772cb08 |
completed | May 12, 2026, 11:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a030d4d117c8190a115b86df7990087 |
completed | May 12, 2026, 11:21 a.m. |
Created at: April 10, 2026, 10:17 a.m.