Triple

T38680021
Position Surface form Disambiguated ID Type / Status
Subject Sidney Harman Hall E943866 entity
Predicate coVenueWith P191521 FINISHED
Object Lansburgh Theatre
Lansburgh Theatre is a historic performing arts venue in Washington, D.C., best known as one of the primary stages of the Shakespeare Theatre Company.
 E2280551 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: Lansburgh Theatre | Statement: [Sidney Harman Hall, coVenueWith, Lansburgh Theatre]
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: Lansburgh Theatre
Triple: [Sidney Harman Hall, coVenueWith, Lansburgh Theatre]
Generated description
Lansburgh Theatre is a historic performing arts venue in Washington, D.C., best known as one of the primary stages of the Shakespeare Theatre Company.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: coVenueWith
Context triple: [Sidney Harman Hall, coVenueWith, Lansburgh Theatre]
  • A. featuresVenue
    Indicates that one entity includes, hosts, or is associated with a particular venue as part of its offering or context.
  • B. homeMeetsVenue
    Indicates that a home team plays its scheduled match at a specified venue.
  • C. earlyVenue
    Indicates that an event or activity takes place at a venue earlier than a standard, expected, or comparative time.
  • D. homeVenueIncludes
    Indicates that a specified venue is part of, contained within, or used as a home location by another entity.
  • E. startVenue
    Indicates the venue or location where an event, journey, or activity begins.
  • 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_69f76eec28708190b9c82a505fc278e0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fcdfbc71c481908ba7f87907b17782 completed May 7, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41fd753e188190a1278db2d3b7a63f completed June 29, 2026, 5:07 a.m.
NEDg Description generation batch_6a41fe7dea008190bdba31dec4813e69 completed June 29, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_6a41ff38219081908809f9918423dd0b completed June 29, 2026, 5:14 a.m.
PD Predicate disambiguation batch_69fcdbe580b8819087f143596b2c79c0 completed May 7, 2026, 6:37 p.m.
PDg Predicate description generation batch_69fcdfbafbf48190abe38ec0003a6419 completed May 7, 2026, 6:53 p.m.
Created at: May 3, 2026, 4:33 p.m.