Triple

T16585264
Position Surface form Disambiguated ID Type / Status
Subject John Hawkes E402939 entity
Predicate notableWork P4 FINISHED
Object Low Down
Low Down is a 2014 biographical drama film about jazz pianist Joe Albany, adapted from his daughter Amy-Jo Albany’s memoir and starring John Hawkes and Elle Fanning.
 E1221647 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: Low Down | Statement: [John Hawkes, notableWork, Low Down]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Low Down
Context triple: [John Hawkes, notableWork, Low Down]
  • A. Low Down
    "Low Down" is a song by The Rolling Stones from their 1997 album *Bridges to Babylon*, showcasing the band's late-era rock sound.
  • B. Lowdown
    "Lowdown" is a smooth, jazz-inflected blue-eyed soul song by Boz Scaggs that became one of his biggest hits in the 1970s.
  • C. Down and Dirty
    Down and Dirty is a shared-world superhero anthology novel in the Wild Cards series, featuring interconnected stories about people transformed by an alien virus.
  • D. Low Down Dirty Mean
    "Low Down Dirty Mean" is a blues-rock song by the Allman Brothers Band featured on their 1990 comeback album "Seven Turns."
  • E. Going Down
    "Going Down" is a classic electric blues song by Freddie King, renowned for its driving guitar riff and powerful vocal delivery.
  • 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: Low Down
Triple: [John Hawkes, notableWork, Low Down]
Generated description
Low Down is a 2014 biographical drama film about jazz pianist Joe Albany, adapted from his daughter Amy-Jo Albany’s memoir and starring John Hawkes and Elle Fanning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Low Down
Target entity description: Low Down is a 2014 biographical drama film about jazz pianist Joe Albany, adapted from his daughter Amy-Jo Albany’s memoir and starring John Hawkes and Elle Fanning.
  • A. Low Down
    "Low Down" is a song by The Rolling Stones from their 1997 album *Bridges to Babylon*, showcasing the band's late-era rock sound.
  • B. Lowdown
    "Lowdown" is a smooth, jazz-inflected blue-eyed soul song by Boz Scaggs that became one of his biggest hits in the 1970s.
  • C. Down and Dirty
    Down and Dirty is a shared-world superhero anthology novel in the Wild Cards series, featuring interconnected stories about people transformed by an alien virus.
  • D. Low Down Dirty Mean
    "Low Down Dirty Mean" is a blues-rock song by the Allman Brothers Band featured on their 1990 comeback album "Seven Turns."
  • E. Going Down
    "Going Down" is a classic electric blues song by Freddie King, renowned for its driving guitar riff and powerful vocal delivery.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599b057881909fcb8bbb156633a8 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef4f17c819095b3c6f8644b687b completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fd574a4819099d12f36addaca24 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0070bb150881908f9d62b3ba2f4b1d completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:16 a.m.