Triple

T36987531
Position Surface form Disambiguated ID Type / Status
Subject Union Rags E915003 entity
Predicate hasProgeny P6882 FINISHED
Object Paradise Woods
Paradise Woods is an American Thoroughbred racehorse best known for her dominant victory in the 2017 Santa Anita Oaks and subsequent success as a top-level West Coast filly.
 E2207393 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: Paradise Woods | Statement: [Union Rags, hasProgeny, Paradise Woods]
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: Paradise Woods
Triple: [Union Rags, hasProgeny, Paradise Woods]
Generated description
Paradise Woods is an American Thoroughbred racehorse best known for her dominant victory in the 2017 Santa Anita Oaks and subsequent success as a top-level West Coast filly.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasProgeny
Context triple: [Union Rags, hasProgeny, Paradise Woods]
  • A. hasChildrenWith
    Indicates that two entities share one or more biological or adopted children together.
  • B. has child chosen
    Indicates that one entity is the parent of another entity, which is its child.
  • C. hasDaughters
    Indicates that one entity is the parent of one or more female child entities (daughters).
  • D. hasProgenitorType
    Indicates that an entity originates from, or is derived from, a specified type of progenitor or source.
  • E. hasChildrenPrograms
    Indicates that a program serves as a parent to one or more subordinate or derived programs.
  • 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_69f76e8dd0408190b8b46da118ea5128 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037c8e2c648190a65fc9c7872861af completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c52dae4819081c1f0291a849d7d completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2cf6ae7081909fca0bbf9eeab76b completed June 26, 2026, 7:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3e490a73a0819098e965f2fb00c3ae completed June 26, 2026, 9:40 a.m.
PD Predicate disambiguation batch_6a037a10036481909c71188b2a0e7f04 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:14 p.m.