Triple

T9799833
Position Surface form Disambiguated ID Type / Status
Subject Asparagaceae E237808 entity
Predicate includesGenus P1393 FINISHED
Object Ophiopogon
Ophiopogon is a genus of grass-like, evergreen perennial plants commonly used as ornamental groundcovers in gardens.
 E822116 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: Ophiopogon | Statement: [Asparagaceae, includesGenus, Ophiopogon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ophiopogon
Context triple: [Asparagaceae, includesGenus, Ophiopogon]
  • A. Liriope
    Liriope is a naiad (freshwater nymph) in Greek mythology, best known as the mother of the beautiful youth Narcissus.
  • B. Aphananthe
    Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
  • C. Pipturus
    Pipturus is a genus of flowering plants in the nettle order known for its shrubby species, some of which produce fibrous bark and small edible fruits.
  • D. Leersia
    Leersia is a genus of grasses commonly known as cutgrasses, found in wet habitats worldwide and related to rice.
  • E. Diphylleia
    Diphylleia is a small genus of herbaceous flowering plants known for their distinctive large leaves and translucent “skeleton” petals when wet, native to temperate woodland regions.
  • 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: Ophiopogon
Triple: [Asparagaceae, includesGenus, Ophiopogon]
Generated description
Ophiopogon is a genus of grass-like, evergreen perennial plants commonly used as ornamental groundcovers in gardens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ophiopogon
Target entity description: Ophiopogon is a genus of grass-like, evergreen perennial plants commonly used as ornamental groundcovers in gardens.
  • A. Liriope
    Liriope is a naiad (freshwater nymph) in Greek mythology, best known as the mother of the beautiful youth Narcissus.
  • B. Aphananthe
    Aphananthe is a small genus of flowering trees and shrubs known for their hard wood and occurrence in warm temperate to tropical regions.
  • C. Pipturus
    Pipturus is a genus of flowering plants in the nettle order known for its shrubby species, some of which produce fibrous bark and small edible fruits.
  • D. Leersia
    Leersia is a genus of grasses commonly known as cutgrasses, found in wet habitats worldwide and related to rice.
  • E. Diphylleia
    Diphylleia is a small genus of herbaceous flowering plants known for their distinctive large leaves and translucent “skeleton” petals when wet, native to temperate woodland regions.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda628fe0081909d2fbac3bd56ee84 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44a652c81908f644e1a5efe3eb1 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c4fc4cc88190b020f672b9f9ba27 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5a1cfb08190b6c16e5309dbf2b8 completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:28 p.m.