Triple

T28167629
Position Surface form Disambiguated ID Type / Status
Subject Sleep (1963 film) E715370 entity
Predicate firstScreeningPlace P33023 FINISHED
Object Cinema Theatre, New York City
Cinema Theatre in New York City was an art-house cinema known for hosting avant-garde film screenings, including early showings of experimental works like Andy Warhol’s "Sleep."
 E1806842 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: Cinema Theatre, New York City | Statement: [Sleep (1963 film), firstScreeningPlace, Cinema Theatre, New York City]
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: Cinema Theatre, New York City
Triple: [Sleep (1963 film), firstScreeningPlace, Cinema Theatre, New York City]
Generated description
Cinema Theatre in New York City was an art-house cinema known for hosting avant-garde film screenings, including early showings of experimental works like Andy Warhol’s "Sleep."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: firstScreeningPlace
Context triple: [Sleep (1963 film), firstScreeningPlace, Cinema Theatre, New York City]
  • A. firstScreeningLocation chosen
    Indicates the location where something (such as a person, item, or case) is initially screened or evaluated for the first time.
  • B. firstScreeningEvent
    Indicates the event representing the earliest or initial screening occurrence associated with an entity.
  • C. firstScreenedAs
    Indicates that an entity was initially shown, presented, or tested in a particular screening context or medium.
  • D. firstScreeningDate
    Indicates the date on which something (such as a film, show, or individual) is first formally screened or evaluated.
  • E. screeningVenue
    Indicates the place or location where a screening (such as a film or event showing) takes place.
  • 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_69efd6b340f0819095680e15dcdc1830 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69ffc083a54c8190ac80d05ee8d20a6b completed May 9, 2026, 11:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7bafb508190bf5a5e3832061196 completed May 26, 2026, 5:26 p.m.
NEDg Description generation batch_6a15de108dfc81908231c00137179fc0 completed May 26, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a15e112981c8190960f127f406f687a completed May 26, 2026, 6:06 p.m.
PD Predicate disambiguation batch_69ffbfeb05b88190b4d50ce8124004d9 completed May 9, 2026, 11:14 p.m.
Created at: April 27, 2026, 10:10 p.m.