Triple

T6629711
Position Surface form Disambiguated ID Type / Status
Subject Millicent Simmonds E149890 entity
Predicate notableWork P4 FINISHED
Object Close Enough
Close Enough is a 2017 short film starring deaf actress Millicent Simmonds, known for its exploration of communication and connection.
 E600969 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 Enough | Statement: [Millicent Simmonds, notableWork, Close Enough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Close Enough
Context triple: [Millicent Simmonds, notableWork, Close Enough]
  • A. Close Enough for Love
    "Close Enough for Love" is a jazz standard and ballad composed by Johnny Mandel that has become a popular piece in the vocal jazz repertoire.
  • B. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • C. 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.
  • D. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • E. Come Closer
    "Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
  • 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 Enough
Triple: [Millicent Simmonds, notableWork, Close Enough]
Generated description
Close Enough is a 2017 short film starring deaf actress Millicent Simmonds, known for its exploration of communication and connection.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Close Enough
Target entity description: Close Enough is a 2017 short film starring deaf actress Millicent Simmonds, known for its exploration of communication and connection.
  • A. Close Enough for Love
    "Close Enough for Love" is a jazz standard and ballad composed by Johnny Mandel that has become a popular piece in the vocal jazz repertoire.
  • B. So Close
    So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
  • C. 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.
  • D. Come Close
    "Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
  • E. Come Closer
    "Come Closer" is a hit Afrobeats single by Nigerian artist Wizkid featuring Drake, known for its fusion of Afrobeat and dancehall and its international chart success.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa5c9b48190b645be96d446d0ca completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbeb04348190957b8e5f098b72bf completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd0a98908190a5725c49bad7589d completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdcf14508190876faa73f5eec884 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:59 p.m.