Triple
T17866309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jadzia Dax |
E446713
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Jadzia
Jadzia is a fictional Trill Starfleet science officer from Star Trek: Deep Space Nine, known for her joined symbiont Dax and complex past lives.
|
E1291719
|
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: Jadzia | Statement: [Jadzia Dax, givenName, Jadzia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jadzia Context triple: [Jadzia Dax, givenName, Jadzia]
-
A.
Jega
Jega is a Nigerian academic and former chairman of the Independent National Electoral Commission, known for overseeing key electoral reforms in Nigeria.
-
B.
Jasionka
Jasionka is a village in southeastern Poland best known for hosting the regional Rzeszów–Jasionka Airport.
-
C.
Jajamen
Jajamen is a regional noodle dish from Morioka, Japan, featuring thick wheat noodles typically served with a savory meat-miso sauce and various toppings.
-
D.
Jagel
Jagel is a small municipality in the northern German state of Schleswig-Holstein, known for its proximity to the military Schleswig Air Base.
-
E.
Jawanda
Jawanda is an Indian-origin surname commonly found among Punjabi communities, particularly within the Sikh population.
- 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: Jadzia Triple: [Jadzia Dax, givenName, Jadzia]
Generated description
Jadzia is a fictional Trill Starfleet science officer from Star Trek: Deep Space Nine, known for her joined symbiont Dax and complex past lives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jadzia Target entity description: Jadzia is a fictional Trill Starfleet science officer from Star Trek: Deep Space Nine, known for her joined symbiont Dax and complex past lives.
-
A.
Jega
Jega is a Nigerian academic and former chairman of the Independent National Electoral Commission, known for overseeing key electoral reforms in Nigeria.
-
B.
Jasionka
Jasionka is a village in southeastern Poland best known for hosting the regional Rzeszów–Jasionka Airport.
-
C.
Jajamen
Jajamen is a regional noodle dish from Morioka, Japan, featuring thick wheat noodles typically served with a savory meat-miso sauce and various toppings.
-
D.
Jagel
Jagel is a small municipality in the northern German state of Schleswig-Holstein, known for its proximity to the military Schleswig Air Base.
-
E.
Jawanda
Jawanda is an Indian-origin surname commonly found among Punjabi communities, particularly within the Sikh population.
- 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.