Triple

T34565906
Position Surface form Disambiguated ID Type / Status
Subject Grover's Corners E887480 entity
Predicate hasStateExaminerVisit P37603 FINISHED
Object Professor Willard
Professor Willard is a scholarly character in Thornton Wilder’s play "Our Town," known for delivering a detailed, academic account of Grover’s Corners’ history and geology.
 E2102857 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: Professor Willard | Statement: [Grover's Corners, hasStateExaminerVisit, Professor Willard]
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: Professor Willard
Triple: [Grover's Corners, hasStateExaminerVisit, Professor Willard]
Generated description
Professor Willard is a scholarly character in Thornton Wilder’s play "Our Town," known for delivering a detailed, academic account of Grover’s Corners’ history and geology.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasStateExaminerVisit
Context triple: [Grover's Corners, hasStateExaminerVisit, Professor Willard]
  • A. hasVisitation chosen
    Indicates that one entity visits, or is allowed or scheduled to visit, another entity or location.
  • B. hasStateOf
    Indicates that an entity possesses, exhibits, or is currently in a particular condition, status, or mode.
  • C. hasVisitingTime
    Indicates that there is a specified time period during which visits are allowed or scheduled for an entity.
  • D. hasExamination
    Indicates that an entity is associated with, or undergoes, a specific examination or test.
  • E. isVisitedFor
    Indicates that a location or entity is visited for a specific purpose, activity, or reason.
  • 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_69f349d0c4d881908dd0950f5eb9ec0a completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69ffaa7bc45c8190b907db8579244a7b completed May 9, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37362c156081909a43c7f2af149de1 completed June 21, 2026, 12:54 a.m.
NEDg Description generation batch_6a37372aa9608190a607c9b4d0c4f978 completed June 21, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a373a7631588190a8fb371e7e7338ac completed June 21, 2026, 1:12 a.m.
PD Predicate disambiguation batch_69ffa9f6c9a481908fbd4d18b311cbe2 completed May 9, 2026, 9:41 p.m.
Created at: May 1, 2026, 2:02 a.m.