Triple
T1960765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandora |
E42379
|
entity |
| Predicate | nameInGreek |
P3659
|
FINISHED |
| Object |
Πανδώρα
Πανδώρα είναι μυθική μορφή της αρχαίας ελληνικής μυθολογίας, γνωστή ως η πρώτη θνητή γυναίκα που άνοιξε το περίφημο «κουτί» απελευθερώνοντας τα δεινά στον κόσμο.
|
E219360
|
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: Πανδώρα | Statement: [Pandora, nameInGreek, Πανδώρα]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Πανδώρα Context triple: [Pandora, nameInGreek, Πανδώρα]
-
A.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
B.
Danaë
Danaë is a princess in Greek mythology, mother of the hero Perseus, famously imprisoned by her father and visited by Zeus in the form of golden rain.
-
C.
Ariadne
Ariadne is a figure from Greek mythology, best known as the Cretan princess who helped Theseus defeat the Minotaur and later became associated with the god Dionysus.
-
D.
Pegasus
Pegasus is the NATO reporting name for the Boeing KC-46, a modern aerial refueling and strategic military transport aircraft.
-
E.
Pallene
Pallene is a region in ancient Greek myth and geography, notably associated with battles between gods and giants.
- 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: Πανδώρα Triple: [Pandora, nameInGreek, Πανδώρα]
Generated description
Πανδώρα είναι μυθική μορφή της αρχαίας ελληνικής μυθολογίας, γνωστή ως η πρώτη θνητή γυναίκα που άνοιξε το περίφημο «κουτί» απελευθερώνοντας τα δεινά στον κόσμο.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Πανδώρα Target entity description: Πανδώρα είναι μυθική μορφή της αρχαίας ελληνικής μυθολογίας, γνωστή ως η πρώτη θνητή γυναίκα που άνοιξε το περίφημο «κουτί» απελευθερώνοντας τα δεινά στον κόσμο.
-
A.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
-
B.
Danaë
Danaë is a princess in Greek mythology, mother of the hero Perseus, famously imprisoned by her father and visited by Zeus in the form of golden rain.
-
C.
Ariadne
Ariadne is a figure from Greek mythology, best known as the Cretan princess who helped Theseus defeat the Minotaur and later became associated with the god Dionysus.
-
D.
Pegasus
Pegasus is the NATO reporting name for the Boeing KC-46, a modern aerial refueling and strategic military transport aircraft.
-
E.
Pallene
Pallene is a region in ancient Greek myth and geography, notably associated with battles between gods and giants.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb380bfc08190ae80f8e6570494b8 |
completed | March 7, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbcea048819091d705095f0d3f68 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc8efb0c81908bce5a4a13359801 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd8115d481909716e11b943cbf61 |
completed | March 8, 2026, 10:51 p.m. |
Created at: March 4, 2026, 7:36 p.m.