Triple
T10734867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eudora |
E253167
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Doto
Doto is a figure from Greek mythology, one of the Nereids (sea nymphs) associated with the Mediterranean Sea and the retinue of Poseidon.
|
E883589
|
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: Doto | Statement: [Eudora, sibling, Doto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doto Context triple: [Eudora, sibling, Doto]
-
A.
Balantak
Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
-
B.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
C.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
D.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
-
E.
Dobo
Dobo is the main town and administrative center of the Aru Islands in Indonesia, serving as the region’s political and economic hub.
- 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: Doto Triple: [Eudora, sibling, Doto]
Generated description
Doto is a figure from Greek mythology, one of the Nereids (sea nymphs) associated with the Mediterranean Sea and the retinue of Poseidon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doto Target entity description: Doto is a figure from Greek mythology, one of the Nereids (sea nymphs) associated with the Mediterranean Sea and the retinue of Poseidon.
-
A.
Balantak
Balantak is an Austronesian language of central Sulawesi, Indonesia, closely related to and often grouped with the Saluan language.
-
B.
Taroa
Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
-
C.
Gouraya
Gouraya is a coastal town in northern Algeria known for its Mediterranean shoreline and proximity to the Gouraya National Park’s rugged landscapes.
-
D.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
-
E.
Dobo
Dobo is the main town and administrative center of the Aru Islands in Indonesia, serving as the region’s political and economic hub.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71021cccc8190ba2d3bbd7d50e2a7 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22cc4edc8190a7ab45e57ed94c47 |
completed | April 14, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69de271ca4f081908d78a20b25ebd25c |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2ccee0cc8190acd24d5c225f7cde |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:14 p.m.