Triple
T8243032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mid-World |
E192781
|
entity |
| Predicate | hasConcept |
P531
|
FINISHED |
| Object |
ka-tet
Ka-tet is a central concept in Stephen King’s Dark Tower universe, referring to a group of people bound together by fate and shared destiny.
|
E721697
|
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: ka-tet | Statement: [Mid-World, hasConcept, ka-tet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ka-tet Context triple: [Mid-World, hasConcept, ka-tet]
-
A.
KAT
KAT is the public transportation system serving Knoxville, Tennessee, operating local bus and transit services throughout the city and surrounding areas.
-
B.
koto
The koto is a traditional Japanese zither-like stringed instrument known for its long, hollow body and distinctive, resonant sound used in classical and folk music.
-
C.
KATS
KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
-
D.
Katunayake
Katunayake is a town in Sri Lanka’s Western Province known primarily as the country’s main international air gateway and an important industrial and transport hub.
-
E.
ektara
The ektara is a simple one-stringed folk instrument widely used in South Asian devotional and folk music, especially by wandering minstrels and mystic singers.
- 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: ka-tet Triple: [Mid-World, hasConcept, ka-tet]
Generated description
Ka-tet is a central concept in Stephen King’s Dark Tower universe, referring to a group of people bound together by fate and shared destiny.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ka-tet Target entity description: Ka-tet is a central concept in Stephen King’s Dark Tower universe, referring to a group of people bound together by fate and shared destiny.
-
A.
KAT
KAT is the public transportation system serving Knoxville, Tennessee, operating local bus and transit services throughout the city and surrounding areas.
-
B.
koto
The koto is a traditional Japanese zither-like stringed instrument known for its long, hollow body and distinctive, resonant sound used in classical and folk music.
-
C.
KATS
KATS is the electronic trading platform used by the Pakistan Stock Exchange to facilitate and manage securities trading.
-
D.
Katunayake
Katunayake is a town in Sri Lanka’s Western Province known primarily as the country’s main international air gateway and an important industrial and transport hub.
-
E.
ektara
The ektara is a simple one-stringed folk instrument widely used in South Asian devotional and folk music, especially by wandering minstrels and mystic singers.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb786f65708190a92ec282b280c813 |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3521bfb48190935fe82a1f768adc |
completed | April 1, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69cd37a5d3bc8190801b1b0f09eee462 |
completed | April 1, 2026, 3:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4edfda788190a29f5d9a7a61f6ed |
completed | April 1, 2026, 4:59 p.m. |
Created at: March 30, 2026, 5:47 p.m.