Triple
T5727036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amphitrite |
E126289
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
halosydne
Halosydne is an epithet of the sea goddess Amphitrite in Greek mythology, highlighting her power and majesty over the sea’s surging waves.
|
E539433
|
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: halosydne | Statement: [Amphitrite, epithet, halosydne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: halosydne Context triple: [Amphitrite, epithet, halosydne]
-
A.
Halhul
Halhul is a Palestinian town in the southern West Bank, north of Hebron, known for its elevated location in the Judean Mountains and its ancient historical and religious significance.
-
B.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
C.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
D.
Halga
Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
-
E.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
- 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: halosydne Triple: [Amphitrite, epithet, halosydne]
Generated description
Halosydne is an epithet of the sea goddess Amphitrite in Greek mythology, highlighting her power and majesty over the sea’s surging waves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: halosydne Target entity description: Halosydne is an epithet of the sea goddess Amphitrite in Greek mythology, highlighting her power and majesty over the sea’s surging waves.
-
A.
Halhul
Halhul is a Palestinian town in the southern West Bank, north of Hebron, known for its elevated location in the Judean Mountains and its ancient historical and religious significance.
-
B.
Hareid
Hareid is a coastal village and municipality in western Norway known for its maritime industries and scenic fjord landscape.
-
C.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
-
D.
Halga
Halga is a legendary Danish prince from the Old English epic Beowulf, known as one of the Scylding royal brothers.
-
E.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250a7f6c8190a264935086608186 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a86eea0819090bf6f9952d8dcc9 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05cabceac819095c4a114220efb1a |
completed | March 22, 2026, 9:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05d30463481909876ca02516d31cc |
completed | March 22, 2026, 9:20 p.m. |
Created at: March 22, 2026, 3:47 p.m.