Triple

T5805836
Position Surface form Disambiguated ID Type / Status
Subject Kay Khosrow E128741 entity
Predicate successor P78 FINISHED
Object Lohrasp
Lohrasp is a legendary king in Persian mythology, known from the Shahnameh as a ruler of Iran who followed the heroic reigns of earlier Kayanian monarchs.
 E548588 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: Lohrasp | Statement: [Kay Khosrow, successor, Lohrasp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lohrasp
Context triple: [Kay Khosrow, successor, Lohrasp]
  • A. Loarki
    Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
  • B. Baradine
    Baradine is a small rural town in New South Wales, Australia, known as a gateway to the Pilliga Forest and for its agricultural and forestry activities.
  • C. Phaeo
    Phaeo is a lesser-known figure in Greek mythology, identified as a daughter of the Titan Atlas.
  • D. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • E. Fasenra
    Fasenra is a monoclonal antibody medication used to treat severe eosinophilic asthma by targeting and reducing eosinophil levels.
  • 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: Lohrasp
Triple: [Kay Khosrow, successor, Lohrasp]
Generated description
Lohrasp is a legendary king in Persian mythology, known from the Shahnameh as a ruler of Iran who followed the heroic reigns of earlier Kayanian monarchs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lohrasp
Target entity description: Lohrasp is a legendary king in Persian mythology, known from the Shahnameh as a ruler of Iran who followed the heroic reigns of earlier Kayanian monarchs.
  • A. Loarki
    Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
  • B. Baradine
    Baradine is a small rural town in New South Wales, Australia, known as a gateway to the Pilliga Forest and for its agricultural and forestry activities.
  • C. Phaeo
    Phaeo is a lesser-known figure in Greek mythology, identified as a daughter of the Titan Atlas.
  • D. Lesath
    Lesath is a bright blue subgiant star in the constellation Scorpius, forming part of the prominent "stinger" at the tip of the scorpion’s tail.
  • E. Fasenra
    Fasenra is a monoclonal antibody medication used to treat severe eosinophilic asthma by targeting and reducing eosinophil levels.
  • 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b1461a48190be2042dd3823d02e completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0983a0b648190ba2c76434d3b1b58 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c099c8c9448190a3847ac984123d7a completed March 23, 2026, 1:39 a.m.
NED2 Entity disambiguation (via description) batch_69c09a458c488190b9e2716fc47cf601 completed March 23, 2026, 1:41 a.m.
Created at: March 22, 2026, 3:52 p.m.