Triple

T33654347
Position Surface form Disambiguated ID Type / Status
Subject Shiva Theater E862181 entity
Predicate cityTheaterDistrict P84874 FINISHED
Object Downtown Manhattan theater district
The Downtown Manhattan theater district is a vibrant cluster of Off-Broadway and experimental performance venues located in lower Manhattan, known for innovative, independent, and avant-garde theater productions.
 E2060664 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: Downtown Manhattan theater district | Statement: [Shiva Theater, cityTheaterDistrict, Downtown Manhattan theater district]
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: Downtown Manhattan theater district
Triple: [Shiva Theater, cityTheaterDistrict, Downtown Manhattan theater district]
Generated description
The Downtown Manhattan theater district is a vibrant cluster of Off-Broadway and experimental performance venues located in lower Manhattan, known for innovative, independent, and avant-garde theater productions.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: cityTheaterDistrict
Context triple: [Shiva Theater, cityTheaterDistrict, Downtown Manhattan theater district]
  • A. theaterDistrict chosen
    Indicates that a location is situated within or associated with a designated theater district.
  • B. hasTheatreDistrictRole
    Indicates that an entity holds a specific role, function, or designation within a theatre district.
  • C. notableCityInTheater
    Indicates that a city holds particular significance or prominence within a specified theater (such as a military, cultural, or operational region).
  • D. theatreCity
    Indicates that a theatre is located in, or primarily associated with, a particular city.
  • E. theaterSector
    Indicates that an entity operates in, is associated with, or belongs to the theater-related sector or industry.
  • 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_69f349840ba881908e3bfce536aeb92b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a362721daac819081449daf7b0b2863 completed June 20, 2026, 5:37 a.m.
NEDg Description generation batch_6a3627bba8bc81909091699b621fd31b completed June 20, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a3628683bac81908b766d3154f2188d completed June 20, 2026, 5:43 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:42 a.m.