Triple

T18370553
Position Surface form Disambiguated ID Type / Status
Subject Bajorans E446170 entity
Predicate religiousClergyTitle P502 FINISHED
Object Prylar
Prylar is a rank within the Bajoran religious hierarchy in the Star Trek universe, denoting a member of the clergy who serves the Prophets and the Bajoran people.
 E1320731 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: Prylar | Statement: [Bajorans, religiousClergyTitle, Prylar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Prylar
Context triple: [Bajorans, religiousClergyTitle, Prylar]
  • A. Aptidon
    Aptidon is the surname of Hassan Gouled Aptidon, the first president of the Republic of Djibouti.
  • B. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • C. Kalydeco
    Kalydeco is a prescription medication used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
  • D. Rinvoq
    Rinvoq is a prescription JAK inhibitor medication used to treat various inflammatory and autoimmune conditions such as rheumatoid arthritis and atopic dermatitis.
  • E. Andexxa
    Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
  • 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: Prylar
Triple: [Bajorans, religiousClergyTitle, Prylar]
Generated description
Prylar is a rank within the Bajoran religious hierarchy in the Star Trek universe, denoting a member of the clergy who serves the Prophets and the Bajoran people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Prylar
Target entity description: Prylar is a rank within the Bajoran religious hierarchy in the Star Trek universe, denoting a member of the clergy who serves the Prophets and the Bajoran people.
  • A. Aptidon
    Aptidon is the surname of Hassan Gouled Aptidon, the first president of the Republic of Djibouti.
  • B. Anpezan
    Anpezan is a regional dialect of the Ladin language spoken in parts of the Dolomite area of northern Italy.
  • C. Kalydeco
    Kalydeco is a prescription medication used to treat certain forms of cystic fibrosis by improving the function of defective CFTR proteins.
  • D. Rinvoq
    Rinvoq is a prescription JAK inhibitor medication used to treat various inflammatory and autoimmune conditions such as rheumatoid arthritis and atopic dermatitis.
  • E. Andexxa
    Andexxa is a recombinant modified human factor Xa protein used as a reversal agent to counteract the anticoagulant effects of factor Xa inhibitors such as rivaroxaban and apixaban.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51751e4288190873bcc4dc140ac16 completed April 19, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d77869e48190a7221d97c99dd2fd completed May 13, 2026, 1:44 a.m.
NEDg Description generation batch_6a03d831538881908117b180f6cb16da completed May 13, 2026, 1:47 a.m.
NED2 Entity disambiguation (via description) batch_6a03d8b2a8208190a3c346db913cf58c completed May 13, 2026, 1:49 a.m.
Created at: April 10, 2026, 10:44 a.m.