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.