Triple

T9854170
Position Surface form Disambiguated ID Type / Status
Subject While She Was Out E239542 entity
Predicate cinematography P1953 FINISHED
Object Steve Gainer
Steve Gainer is an American cinematographer known for his work on feature films, television series, and music videos.
E838764 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: Steve Gainer | Statement: [While She Was Out, cinematography, Steve Gainer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Gainer
Context triple: [While She Was Out, cinematography, Steve Gainer]
  • A. Robert Gaskins
    Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
  • B. Steve Gaines
    Steve Gaines was an American guitarist, singer, and songwriter best known for his work with the Southern rock band Lynyrd Skynyrd in the mid-1970s.
  • C. Len Garry
    Len Garry is a British musician best known as the original tea-chest bass player in The Quarrymen, the skiffle group that evolved into The Beatles.
  • D. Glenn Roberts
    Glenn Roberts is an American grain expert and founder of Anson Mills, renowned for reviving heirloom Southern grains and rice varieties, including Carolina Gold rice.
  • E. Mike Talman
    Mike Talman is a con man who becomes entangled in a tense scheme involving a blind woman and hidden heroin in the thriller "Wait Until Dark."
  • 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: Steve Gainer
Triple: [While She Was Out, cinematography, Steve Gainer]
Generated description
Steve Gainer is an American cinematographer known for his work on feature films, television series, and music videos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steve Gainer
Target entity description: Steve Gainer is an American cinematographer known for his work on feature films, television series, and music videos.
  • A. Robert Gaskins
    Robert Gaskins is a software entrepreneur best known as the co-creator of Microsoft PowerPoint and a key figure in the early development of presentation software.
  • B. Steve Gaines
    Steve Gaines was an American guitarist, singer, and songwriter best known for his work with the Southern rock band Lynyrd Skynyrd in the mid-1970s.
  • C. Len Garry
    Len Garry is a British musician best known as the original tea-chest bass player in The Quarrymen, the skiffle group that evolved into The Beatles.
  • D. Glenn Roberts
    Glenn Roberts is an American grain expert and founder of Anson Mills, renowned for reviving heirloom Southern grains and rice varieties, including Carolina Gold rice.
  • E. Mike Talman
    Mike Talman is a con man who becomes entangled in a tense scheme involving a blind woman and hidden heroin in the thriller "Wait Until Dark."
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3960fb481909c90d6d6cafc6222 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d299c51ea08190902e03552fbe7ebb completed April 5, 2026, 5:20 p.m.
NEDg Description generation batch_69d29b7430248190b8965eaf1286dd7c completed April 5, 2026, 5:27 p.m.
NED2 Entity disambiguation (via description) batch_69d29c7ba9f081908f4614098d6c954b completed April 5, 2026, 5:31 p.m.
Created at: March 30, 2026, 8:34 p.m.