Triple

T33940364
Position Surface form Disambiguated ID Type / Status
Subject Paul Janssen E870146 entity
Predicate notableDrugDeveloped P105584 FINISHED
Object haloperidol
Haloperidol is a first-generation antipsychotic medication widely used to treat schizophrenia, acute psychosis, and severe agitation.
 E2074709 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: haloperidol | Statement: [Paul Janssen, notableDrugDeveloped, haloperidol]
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: haloperidol
Triple: [Paul Janssen, notableDrugDeveloped, haloperidol]
Generated description
Haloperidol is a first-generation antipsychotic medication widely used to treat schizophrenia, acute psychosis, and severe agitation.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notableDrugDeveloped
Context triple: [Paul Janssen, notableDrugDeveloped, haloperidol]
  • A. developedDrugFor chosen
    Indicates that one entity created or formulated a drug intended to treat or address a medical condition associated with another entity.
  • B. discoveredAsDrugIn
    Indicates that something was first identified, developed, or recognized for use as a drug within a specified context, such as a study, project, or time period.
  • C. isFirstDrugApprovedFor
    Indicates that a drug is the earliest or original medication approved for treating a particular condition, disease, or indication.
  • D. drugProduced
    Indicates that a particular drug is manufactured or generated by a specified producer or source.
  • E. notableModelDeveloped
    Indicates that an entity is recognized for having created, designed, or developed a significant or noteworthy model.
  • 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_69f3499b0dd48190b07b4b60babcee02 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a037e0953908190b2930b3c06a40129 completed May 12, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3689d58cf08190ae6283265087d590 completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a5f070c81909a5d0e8f4ac5ad2e completed June 20, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_6a368b17fd848190be803db49a0ef089 completed June 20, 2026, 12:44 p.m.
PD Predicate disambiguation batch_6a0379f6c3308190b954f7810214ceed completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:49 a.m.