Triple
T2974122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ourea |
E80352
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Nereus
Nereus is an ancient sea deity in Greek mythology, often called the “Old Man of the Sea,” known for his wisdom, prophetic powers, and shapeshifting abilities.
|
E316968
|
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: Nereus | Statement: [Ourea, sibling, Nereus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nereus Context triple: [Ourea, sibling, Nereus]
-
A.
Tonna
Tonna is a village and community in Neath Port Talbot, South Wales, known for its residential character and proximity to the town of Neath.
-
B.
Sirena Deep
Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
-
C.
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.
-
D.
Glaucus
Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
-
E.
Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
- 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: Nereus Triple: [Ourea, sibling, Nereus]
Generated description
Nereus is an ancient sea deity in Greek mythology, often called the “Old Man of the Sea,” known for his wisdom, prophetic powers, and shapeshifting abilities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nereus Target entity description: Nereus is an ancient sea deity in Greek mythology, often called the “Old Man of the Sea,” known for his wisdom, prophetic powers, and shapeshifting abilities.
-
A.
Tonna
Tonna is a village and community in Neath Port Talbot, South Wales, known for its residential character and proximity to the town of Neath.
-
B.
Sirena Deep
Sirena Deep is one of the deepest known points in the world's oceans, located within the Mariana Trench in the western Pacific Ocean.
-
C.
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.
-
D.
Glaucus
Glaucus is a sea-god from Greek mythology, often depicted as a transformed fisherman endowed with prophetic powers.
-
E.
Gorg
Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9987bb6c8190adfb447b76276962 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108e6a5448190ae32e6d2db8e7248 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10a9ba2248190b756cb92437f49ec |
completed | March 11, 2026, 6:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10bb131e48190b0982db3a9656ddc |
completed | March 11, 2026, 6:29 a.m. |
Created at: March 8, 2026, 2:58 p.m.