Triple
T10194045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magneto |
E238113
|
entity |
| Predicate | baseOfOperations |
P2591
|
FINISHED |
| Object |
Avalon
Avalon is a spaceborne sanctuary and stronghold associated with the Marvel Comics character Magneto, often depicted as a refuge for mutants.
|
E846559
|
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: Avalon | Statement: [Magneto, baseOfOperations, Avalon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avalon Context triple: [Magneto, baseOfOperations, Avalon]
-
A.
Avalon
"Avalon" is a 1982 art rock album by Roxy Music, widely regarded as one of their most polished and influential works.
-
B.
Avalon
Avalon is a federal electoral district in Newfoundland and Labrador, Canada, represented in the House of Commons.
-
C.
Avalon
"Avalon" is a 1990 American drama film chronicling the experiences and generational conflicts of a Jewish immigrant family in mid-20th-century Baltimore.
-
D.
Avalon
"Avalon" is a popular jazz standard from the early 20th century that became widely known through swing-era performances and recordings.
-
E.
Avalon
Avalon is a popular seaside resort town on the Jersey Shore in New Jersey, known for its beaches, vacation homes, and family-friendly atmosphere.
- 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: Avalon Triple: [Magneto, baseOfOperations, Avalon]
Generated description
Avalon is a spaceborne sanctuary and stronghold associated with the Marvel Comics character Magneto, often depicted as a refuge for mutants.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Avalon Target entity description: Avalon is a spaceborne sanctuary and stronghold associated with the Marvel Comics character Magneto, often depicted as a refuge for mutants.
-
A.
Avalon
Avalon is the legendary, mystical island in Arthurian mythology famed as the place of King Arthur’s healing or final rest and the forging of Excalibur.
-
B.
Avalon
Avalon is a popular seaside resort town on the Jersey Shore in New Jersey, known for its beaches, vacation homes, and family-friendly atmosphere.
-
C.
Avalon
Avalon is the main resort town and only incorporated city on Santa Catalina Island, known for its picturesque harbor, tourism, and Mediterranean-style waterfront.
-
D.
Avalon
"Avalon" is a 1990 American drama film chronicling the experiences and generational conflicts of a Jewish immigrant family in mid-20th-century Baltimore.
-
E.
Avalon
Avalon is a federal electoral district in Newfoundland and Labrador, Canada, represented in the House of Commons.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdedc7cc748190bceb8f657afcc054 |
completed | April 2, 2026, 4:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317d3c1bc8190811b809aaf93a754 |
completed | April 6, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69d318a95450819086cd07610de39a55 |
completed | April 6, 2026, 2:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d319593c908190adc43bc2a213211f |
completed | April 6, 2026, 2:24 a.m. |
Created at: March 30, 2026, 9:13 p.m.