Triple
T8316394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clive Barker |
E194715
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Imajica
Imajica is an epic dark fantasy novel by Clive Barker that explores parallel worlds, complex theology, and transformative love through a vast, metaphysical narrative.
|
E725645
|
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: Imajica | Statement: [Clive Barker, notableWork, Imajica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imajica Context triple: [Clive Barker, notableWork, Imajica]
-
A.
Kingaama
Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
-
B.
Jimo
Jimo is a county-level city under the administration of Qingdao in eastern China's Shandong Province, known for its historical heritage and rapidly developing economy.
-
C.
Rotomagus
Rotomagus was an important ancient Roman city in the province of Gallia Lugdunensis, located at the site of modern-day Rouen in northern France.
-
D.
Enijabro
Enijabro is one of the small islands that make up Maloelap Atoll in the Marshall Islands of the central Pacific Ocean.
-
E.
Sjenica
Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
- 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: Imajica Triple: [Clive Barker, notableWork, Imajica]
Generated description
Imajica is an epic dark fantasy novel by Clive Barker that explores parallel worlds, complex theology, and transformative love through a vast, metaphysical narrative.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Imajica Target entity description: Imajica is an epic dark fantasy novel by Clive Barker that explores parallel worlds, complex theology, and transformative love through a vast, metaphysical narrative.
-
A.
Kingaama
Kingaama is a Bantu language belonging to the Sabaki branch, spoken along the East African coast.
-
B.
Jimo
Jimo is a county-level city under the administration of Qingdao in eastern China's Shandong Province, known for its historical heritage and rapidly developing economy.
-
C.
Rotomagus
Rotomagus was an important ancient Roman city in the province of Gallia Lugdunensis, located at the site of modern-day Rouen in northern France.
-
D.
Enijabro
Enijabro is one of the small islands that make up Maloelap Atoll in the Marshall Islands of the central Pacific Ocean.
-
E.
Sjenica
Sjenica is a town in southwestern Serbia known for its harsh winters, high-altitude plateau setting, and production of the famous Sjenica cheese.
- 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_69ca82e6e2648190a31eaf6f4f757b2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f557a7881908adcf353f7297848 |
completed | March 31, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd958cf0808190af59e36c35b91e58 |
completed | April 1, 2026, 10 p.m. |
| NEDg | Description generation | batch_69cdab5d649c819098a7643d5a0b7827 |
completed | April 1, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdb2c2e2248190bf52466abaebfe29 |
completed | April 2, 2026, 12:05 a.m. |
Created at: March 30, 2026, 5:55 p.m.