Triple

T34641587
Position Surface form Disambiguated ID Type / Status
Subject Libria E889572 entity
Predicate enforcesEmotionSuppressionWith P91075 FINISHED
Object drug Prozium
Prozium is a fictional emotion-suppressing drug from the dystopian film "Equilibrium," used by the totalitarian state of Libria to maintain strict social control.
 E2106069 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: drug Prozium | Statement: [Libria, enforcesEmotionSuppressionWith, drug Prozium]
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: drug Prozium
Triple: [Libria, enforcesEmotionSuppressionWith, drug Prozium]
Generated description
Prozium is a fictional emotion-suppressing drug from the dystopian film "Equilibrium," used by the totalitarian state of Libria to maintain strict social control.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: enforcesEmotionSuppressionWith
Context triple: [Libria, enforcesEmotionSuppressionWith, drug Prozium]
  • A. requiresEmotion
    Indicates that one entity’s occurrence, validity, or performance depends on the presence or experience of a particular emotion in another entity.
  • B. hasEmotionSimulation
    Indicates that an entity is capable of generating or exhibiting a simulated emotional state rather than a genuine one.
  • C. expressesEmotionThrough
    Indicates that one entity conveys or manifests an emotion by means of another entity (such as an action, medium, or expression).
  • D. hasEmotionalDimension
    Indicates that something involves, expresses, or affects emotions as a significant aspect of its nature or impact.
  • E. suppressedIn chosen
    Indicates that one entity’s presence, activity, or expression is reduced, inhibited, or prevented by another entity or condition.
  • F. None of above.

Provenance (6 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_69f349d724848190b63ad3407e0006d9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f727bde8f88190ad746ca515134ca1 completed May 3, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3748f014e48190b7891f51615b7586 completed June 21, 2026, 2:14 a.m.
NEDg Description generation batch_6a37498f10f481909d034c8c8ac12200 completed June 21, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_6a3749fdcc608190a16bdb4ea6d90b7a completed June 21, 2026, 2:18 a.m.
PD Predicate disambiguation batch_69f72739c30c81908642eef3feb3afcf completed May 3, 2026, 10:45 a.m.
Created at: May 1, 2026, 2:04 a.m.