Triple
T17908757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charmcaster |
E447767
|
entity |
| Predicate | homeWorld |
P4624
|
FINISHED |
| Object |
Legerdomain
Legerdomain is a mystical, alternate dimension in the Ben 10 universe known as the chaotic, magic-rich realm associated with the sorceress Charmcaster.
|
E1295209
|
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: Legerdomain | Statement: [Charmcaster, homeWorld, Legerdomain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Legerdomain Context triple: [Charmcaster, homeWorld, Legerdomain]
-
A.
Lemerig
Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
-
B.
Larena
Larena is a coastal municipality on Siquijor Island in the Philippines known historically as a key commercial and educational center of the province.
-
C.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
-
D.
Lestek
Lestek is a masculine given name of Slavic origin, historically associated with early Polish rulers.
-
E.
Léguer
The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
- 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: Legerdomain Triple: [Charmcaster, homeWorld, Legerdomain]
Generated description
Legerdomain is a mystical, alternate dimension in the Ben 10 universe known as the chaotic, magic-rich realm associated with the sorceress Charmcaster.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Legerdomain Target entity description: Legerdomain is a mystical, alternate dimension in the Ben 10 universe known as the chaotic, magic-rich realm associated with the sorceress Charmcaster.
-
A.
Lemerig
Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
-
B.
Larena
Larena is a coastal municipality on Siquijor Island in the Philippines known historically as a key commercial and educational center of the province.
-
C.
Leme
Leme is a beachfront neighborhood in Rio de Janeiro known for its quieter stretch of sand adjoining Copacabana and its scenic views of the Atlantic and surrounding hills.
-
D.
Lestek
Lestek is a masculine given name of Slavic origin, historically associated with early Polish rulers.
-
E.
Léguer
The Léguer is a river in the Côtes-d'Armor department of Brittany in northwestern France, known for flowing through the town of Lannion and its scenic, natural landscapes.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9e4c9881908bfc3a83809d6b85 |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b2e0c5481908443e13839a0415d |
completed | May 12, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a031bc800d081908493949af23dd360 |
completed | May 12, 2026, 12:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031d4bf2dc8190b69eb8f8050b9955 |
completed | May 12, 2026, 12:30 p.m. |
Created at: April 10, 2026, 10:19 a.m.