Triple
T791999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hera |
E16933
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object |
Hera Gamelia
Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
|
E104271
|
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: Hera Gamelia | Statement: [Hera, epithet, Hera Gamelia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hera Gamelia Context triple: [Hera, epithet, Hera Gamelia]
-
A.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
B.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
C.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
-
D.
HERA
HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
-
E.
Fausta
Fausta was a Roman empress, daughter of Emperor Maximian, and the second wife of Constantine the Great, whose controversial execution has long intrigued historians.
- 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: Hera Gamelia Triple: [Hera, epithet, Hera Gamelia]
Generated description
Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hera Gamelia Target entity description: Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
-
A.
Merope
Merope is one of the Pleiades in Greek mythology, a daughter of Atlas and Pleione who became a star in the constellation Taurus.
-
B.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
C.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
-
D.
HERA
HERA is a 2008 U.S. federal law enacted in response to the subprime mortgage crisis to stabilize the housing market, reform mortgage regulation, and support troubled homeowners and financial institutions.
-
E.
Fausta
Fausta was a Roman empress, daughter of Emperor Maximian, and the second wife of Constantine the Great, whose controversial execution has long intrigued historians.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83f0fb4819097f29c9ab90cf1a8 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7bc1acf708190aa86cd5eca101966 |
completed | March 4, 2026, 4:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7bc96dd2881909310147292b99023 |
completed | March 4, 2026, 5:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.