Triple

T2745928
Position Surface form Disambiguated ID Type / Status
Subject Glenn Close E60867 entity
Predicate familyName P18 FINISHED
Object Close
Close is the surname of acclaimed American actress Glenn Close, known for her versatile performances in film, television, and theater.
 E294737 NE FINISHED

How this triple was built (4 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: Close | Statement: [Glenn Close, familyName, Close]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Close
Context triple: [Glenn Close, familyName, Close]
  • A. Chiusi
    Chiusi is an ancient town in central Italy renowned as one of the principal cities of the Etruscan civilization and noted for its rich archaeological heritage.
  • B. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • C. Close (to the Edit)
    "Close (to the Edit)" is an experimental 1984 synth-pop single by the British avant-garde group Art of Noise, known for its innovative use of sampling and production techniques.
  • D. A Closer Look
    A Closer Look is a recurring political and current-events commentary segment on Late Night with Seth Meyers known for its in-depth, satirical analysis of the news.
  • E. Up Close
    Up Close is a sports interview television program hosted by Chris Myers that features in-depth conversations with prominent athletes and sports figures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Close
Triple: [Glenn Close, familyName, Close]
Generated description
Close is the surname of acclaimed American actress Glenn Close, known for her versatile performances in film, television, and theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Close
Target entity description: Close is the surname of acclaimed American actress Glenn Close, known for her versatile performances in film, television, and theater.
  • A. Chiusi
    Chiusi is an ancient town in central Italy renowned as one of the principal cities of the Etruscan civilization and noted for its rich archaeological heritage.
  • B. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • C. Close (to the Edit)
    "Close (to the Edit)" is an experimental 1984 synth-pop single by the British avant-garde group Art of Noise, known for its innovative use of sampling and production techniques.
  • D. A Closer Look
    A Closer Look is a recurring political and current-events commentary segment on Late Night with Seth Meyers known for its in-depth, satirical analysis of the news.
  • E. Up Close
    Up Close is a sports interview television program hosted by Chris Myers that features in-depth conversations with prominent athletes and sports figures.
  • F. None of above. chosen

Provenance (5 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb4d37a481908cc2ad4666f3ac94 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd0f3a08190bf33a937ae9749c7 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc477a648190a4b7b83f174ca948 completed March 10, 2026, 6:37 a.m.
NED2 Entity disambiguation (via description) batch_69afbcc460b88190986844c39165ef14 completed March 10, 2026, 6:40 a.m.
Created at: March 6, 2026, 9:56 p.m.