Triple
T20232295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Golden Voyage of Sinbad |
E495557
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Koura
Koura is the malevolent sorcerer and primary antagonist in the fantasy adventure film "The Golden Voyage of Sinbad."
|
E1418720
|
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: Koura | Statement: [The Golden Voyage of Sinbad, featuresCharacter, Koura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koura Context triple: [The Golden Voyage of Sinbad, featuresCharacter, Koura]
-
A.
Koura
Koura is a historically significant district in northern Lebanon known for its olive groves, agricultural production, and predominantly Greek Orthodox Christian communities.
-
B.
Koura
Koura is a town in Jordan located within the Irbid Governorate in the northern part of the country.
-
C.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
D.
Matora
Matora is a significant literary work by Slovak national revivalist Michal Miloslav Hodža, reflecting his cultural and linguistic efforts in the 19th century.
-
E.
Tsorona
Tsorona is a town in the Tigray region of northern Ethiopia, near the Eritrean border, known for being a strategic site in the Eritrean–Ethiopian conflicts.
- 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: Koura Triple: [The Golden Voyage of Sinbad, featuresCharacter, Koura]
Generated description
Koura is the malevolent sorcerer and primary antagonist in the fantasy adventure film "The Golden Voyage of Sinbad."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koura Target entity description: Koura is the malevolent sorcerer and primary antagonist in the fantasy adventure film "The Golden Voyage of Sinbad."
-
A.
Koura
Koura is a historically significant district in northern Lebanon known for its olive groves, agricultural production, and predominantly Greek Orthodox Christian communities.
-
B.
Koura
Koura is a town in Jordan located within the Irbid Governorate in the northern part of the country.
-
C.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
D.
Matora
Matora is a significant literary work by Slovak national revivalist Michal Miloslav Hodža, reflecting his cultural and linguistic efforts in the 19th century.
-
E.
Tsorona
Tsorona is a town in the Tigray region of northern Ethiopia, near the Eritrean border, known for being a strategic site in the Eritrean–Ethiopian conflicts.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b8e73908190a0c09697d6dc1c76 |
completed | May 16, 2026, 10:48 a.m. |
| NEDg | Description generation | batch_6a084c041b5c8190881a6d08c4afe42f |
completed | May 16, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a084c7dee808190a0883f7f0c7873a9 |
completed | May 16, 2026, 10:52 a.m. |
Created at: April 11, 2026, 11:39 p.m.