Triple

T23223586
Position Surface form Disambiguated ID Type / Status
Subject The Maid’s Tragedy E580958 entity
Predicate centralCharacter P9202 FINISHED
Object Aspatia
Aspatia is a tragic, jilted noblewoman in the Jacobean play "The Maid’s Tragedy," renowned for her steadfast love, melancholy dignity, and emblematic role as a wronged heroine.
E1572745 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: Aspatia | Statement: [The Maid’s Tragedy, centralCharacter, Aspatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspatia
Context triple: [The Maid’s Tragedy, centralCharacter, Aspatia]
  • A. Astún
    Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
  • B. Adrestia
    Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
  • C. Ascea
    Ascea is a coastal town in southern Italy’s Cilento region, known for its beaches, archaeological sites, and proximity to the ancient city of Elea (Velia).
  • D. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • E. Spata
    Spata is a town in the East Attica region of Greece, known for hosting Athens International Airport and for its agricultural and wine-producing traditions.
  • 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: Aspatia
Triple: [The Maid’s Tragedy, centralCharacter, Aspatia]
Generated description
Aspatia is a tragic, jilted noblewoman in the Jacobean play "The Maid’s Tragedy," renowned for her steadfast love, melancholy dignity, and emblematic role as a wronged heroine.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aspatia
Target entity description: Aspatia is a tragic, jilted noblewoman in the Jacobean play "The Maid’s Tragedy," renowned for her steadfast love, melancholy dignity, and emblematic role as a wronged heroine.
  • A. Astún
    Astún is a ski resort in the Spanish Pyrenees known for its alpine terrain and winter sports facilities.
  • B. Adrestia
    Adrestia is a lesser-known Greek goddess associated with revolt, retribution, and the balance between war and peace.
  • C. Ascea
    Ascea is a coastal town in southern Italy’s Cilento region, known for its beaches, archaeological sites, and proximity to the ancient city of Elea (Velia).
  • D. Aternus
    Aternus is an ancient river in central Italy historically associated with the territory of the Marrucini people.
  • E. Spata
    Spata is a town in the East Attica region of Greece, known for hosting Athens International Airport and for its agricultural and wine-producing traditions.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1922b4a348190ae570a869e30059f completed April 29, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ce65b48190a621f67a75b84fea completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c31b2a8cc81908bc31ce4bdccdd71 completed May 19, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0c3245c9808190ab5212a14aa2e42e completed May 19, 2026, 9:49 a.m.
Created at: April 17, 2026, 4:08 p.m.