Triple
T7273082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nome King |
E161152
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ruggedo
Ruggedo is the villainous Nome King from L. Frank Baum’s Oz series, known for ruling the underground Nome Kingdom and opposing the people of Oz.
|
E653638
|
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: Ruggedo | Statement: [Nome King, alsoKnownAs, Ruggedo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruggedo Context triple: [Nome King, alsoKnownAs, Ruggedo]
-
A.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
B.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
C.
Raskhan
Raskhan was a 16th–17th century Indian poet and devotee of Krishna, renowned for his lyrical Braj Bhasha compositions celebrating bhakti (devotional love).
-
D.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
E.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
- 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: Ruggedo Triple: [Nome King, alsoKnownAs, Ruggedo]
Generated description
Ruggedo is the villainous Nome King from L. Frank Baum’s Oz series, known for ruling the underground Nome Kingdom and opposing the people of Oz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ruggedo Target entity description: Ruggedo is the villainous Nome King from L. Frank Baum’s Oz series, known for ruling the underground Nome Kingdom and opposing the people of Oz.
-
A.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
B.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
C.
Raskhan
Raskhan was a 16th–17th century Indian poet and devotee of Krishna, renowned for his lyrical Braj Bhasha compositions celebrating bhakti (devotional love).
-
D.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
E.
Trandal
Trandal is a small, scenic village in western Norway, known for its dramatic fjord landscape and location along the Hjørundfjord.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb0c68d0819081b2aebba19bf3e8 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db2936dc8190aed38888bb5e47b8 |
completed | March 28, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69c7df512bac81909e7c413302afd4ea |
completed | March 28, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7dfcdc3908190a7e5bf653b87ed00 |
completed | March 28, 2026, 2:03 p.m. |
Created at: March 27, 2026, 2:58 p.m.