Triple
T791974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hera |
E16933
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object |
Hebe
Hebe is the Greek goddess of youth, traditionally known as the cupbearer of the gods on Mount Olympus.
|
E107396
|
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: Hebe | Statement: [Hera, offspring, Hebe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hebe Context triple: [Hera, offspring, Hebe]
-
A.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
B.
Sonia
Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
-
C.
Diana
Diana is a feminine given name of Latin origin, famously borne by the Roman goddess of the hunt and by Diana, Princess of Wales.
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
Valeria
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
- 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: Hebe Triple: [Hera, offspring, Hebe]
Generated description
Hebe is the Greek goddess of youth, traditionally known as the cupbearer of the gods on Mount Olympus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hebe Target entity description: Hebe is the Greek goddess of youth, traditionally known as the cupbearer of the gods on Mount Olympus.
-
A.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
B.
Sonia
Sonia is a central female character in the romantic comedy film "Think Like a Man," whose relationships and personal growth intersect with the movie’s ensemble cast and themes about modern dating.
-
C.
Diana
Diana is a feminine given name of Latin origin, famously borne by the Roman goddess of the hunt and by Diana, Princess of Wales.
-
D.
Luisa
Luisa is a feminine given name used in various languages, particularly Romance languages, as a form of the name Louise.
-
E.
Valeria
Valeria was a Roman imperial princess and later empress, best known as the daughter of Emperor Diocletian and for her tragic fate during the political turmoil of the Tetrarchy.
- 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_69a7c70e6eb48190b019759cd656e629 |
completed | March 4, 2026, 5:45 a.m. |
| NEDg | Description generation | batch_69a7c896d1c481909493a1bc4e6266e3 |
completed | March 4, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7c918ebbc81908ad58bb8045543e6 |
completed | March 4, 2026, 5:54 a.m. |
Created at: March 1, 2026, 7:38 p.m.