Triple
T5410983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ino |
E121010
|
entity |
| Predicate | worshippedAs |
P8132
|
FINISHED |
| Object |
Leucothea
Leucothea is a sea goddess in Greek mythology, often associated with aiding shipwrecked sailors and offering divine protection at sea.
|
E518009
|
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: Leucothea | Statement: [Ino, worshippedAs, Leucothea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leucothea Context triple: [Ino, worshippedAs, Leucothea]
-
A.
Amphicleia
Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
-
B.
Hera Lacinia
Hera Lacinia is an epithet and cult title of the Greek goddess Hera, particularly venerated at a major sanctuary near the ancient city of Croton in Magna Graecia.
-
C.
Naousa
Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
-
D.
Glaucus
Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
-
E.
Glaucus
Glaucus is a character associated with the darkly comedic, countercultural world of the film "Harold and Maude," reflecting its themes of unconventional relationships and existential rebellion.
- 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: Leucothea Triple: [Ino, worshippedAs, Leucothea]
Generated description
Leucothea is a sea goddess in Greek mythology, often associated with aiding shipwrecked sailors and offering divine protection at sea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leucothea Target entity description: Leucothea is a sea goddess in Greek mythology, often associated with aiding shipwrecked sailors and offering divine protection at sea.
-
A.
Amphicleia
Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
-
B.
Hera Lacinia
Hera Lacinia is an epithet and cult title of the Greek goddess Hera, particularly venerated at a major sanctuary near the ancient city of Croton in Magna Graecia.
-
C.
Naousa
Naousa is a historic town in northern Greece known for its wine production, natural springs, and role in the Greek War of Independence.
-
D.
Glaucus
Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
-
E.
Glaucus
Glaucus is a character associated with the darkly comedic, countercultural world of the film "Harold and Maude," reflecting its themes of unconventional relationships and existential rebellion.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87985ee0819092a9a5cd6a948138 |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33a22e188190861459f74c3f615a |
completed | March 22, 2026, 12:11 a.m. |
| NEDg | Description generation | batch_69bf342cca148190bd8d09ef8b606602 |
completed | March 22, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34a5e3c08190bb27e20c6bbc2165 |
completed | March 22, 2026, 12:15 a.m. |
Created at: March 20, 2026, 2:05 p.m.