Triple

T38402703
Position Surface form Disambiguated ID Type / Status
Subject Muhaarar E900942 entity
Predicate stud P190844 FINISHED
Object Nunnery Stud
Nunnery Stud is a prominent British Thoroughbred breeding farm owned by Shadwell Estate, known for standing high-class stallions.
 E1320562 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: Nunnery Stud | Statement: [Muhaarar, stud, Nunnery Stud]
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: Nunnery Stud
Triple: [Muhaarar, stud, Nunnery Stud]
Generated description
Nunnery Stud is a prominent British Thoroughbred breeding farm owned by Shadwell Estate, known for standing high-class stallions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: stud
Context triple: [Muhaarar, stud, Nunnery Stud]
  • A. study
    Indicates engaging in a systematic effort to learn, understand, or investigate a subject or object.
  • B. studType
    Indicates a relationship where an entity is classified as a particular type or category of stud (e.g., a specific kind of fastener or structural element).
  • C. studiesFor
    Indicates that one entity engages in studying or academic preparation with the purpose of achieving or supporting another entity (such as a goal, exam, or qualification).
  • D. studDuty
    Indicates that an entity has a duty, responsibility, or obligation related to studying or academic work.
  • E. studyUnit
    Indicates a relationship where an entity is a unit, module, or component of study within a broader course, curriculum, or learning program.
  • F. None of above. chosen

Provenance (7 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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c281da148190bc3d12f6df45109e completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c3a2ac4881908f8e4a244222b01d completed June 29, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_6a41c412c07c8190b7c2234a6dbd88b4 completed June 29, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
PDg Predicate description generation batch_69fcd148e6d4819082c118832ecc599b completed May 7, 2026, 5:52 p.m.
Created at: May 3, 2026, 4:31 p.m.