Triple

T28262184
Position Surface form Disambiguated ID Type / Status
Subject deserts the army for Carmen E712610 entity
Predicate hasCharacterPatient P180501 FINISHED
Object Carmen
Carmen is the passionate, free-spirited heroine of Georges Bizet’s opera, whose seductive independence leads those around her to obsession and ruin.
 E1813322 NE FINISHED

How this triple was built (3 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: Carmen | Statement: [deserts the army for Carmen, hasCharacterPatient, Carmen]
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: Carmen
Triple: [deserts the army for Carmen, hasCharacterPatient, Carmen]
Generated description
Carmen is the passionate, free-spirited heroine of Georges Bizet’s opera, whose seductive independence leads those around her to obsession and ruin.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCharacterPatient
Context triple: [deserts the army for Carmen, hasCharacterPatient, Carmen]
  • A. hasPatient
    Indicates that an action, event, or process involves a specific entity as the one undergoing or receiving its effects (the patient).
  • B. hasPatientRole
    Indicates that an entity participates in a relationship or activity specifically in the role of a patient (the one receiving care, treatment, or action).
  • C. hasHealthCareCharacteristic
    Indicates that an entity possesses a specific healthcare-related attribute, quality, or feature.
  • D. hasHumanCharacters
    Indicates that the subject includes or features characters that are human beings.
  • E. hasCharacters
    Indicates that an entity (such as a work or story) includes or features certain characters as part of its content.
  • F. None of above. chosen

Provenance (7 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_69efb5207eb08190827e4c34048030b1 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f7431c0eec81909ead443e07d75e18 completed May 3, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1632eb17e48190976720d0abec4b88 completed May 26, 2026, 11:55 p.m.
NEDg Description generation batch_6a163495d6888190a6c226919d78ee45 completed May 27, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_6a16353dbdf88190b6d85c1b6c0c195c completed May 27, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69f74143cf708190a12d487884298437 completed May 3, 2026, 12:36 p.m.
PDg Predicate description generation batch_69f7431aac148190bb6aac59817c174a completed May 3, 2026, 12:44 p.m.
Created at: April 27, 2026, 11:12 p.m.