Triple

T14657476
Position Surface form Disambiguated ID Type / Status
Subject Roger Avary E344146 entity
Predicate directed P7373 FINISHED
Object Lucky Day
Lucky Day is a 2019 crime thriller film written and directed by Roger Avary, following a safecracker whose attempt to go straight is derailed by a vengeful hitman.
E1112201 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: Lucky Day | Statement: [Roger Avary, directed, Lucky Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucky Day
Context triple: [Roger Avary, directed, Lucky Day]
  • A. Lucky Day
    "Lucky Day" is a studio album by Jamaican-American reggae fusion artist Shaggy, known for its upbeat dancehall tracks and catchy pop-infused sound.
  • B. Lucky Day
    Lucky Day is one of the three bumbling silent-film actors who mistakenly become real-life heroes in the comedy film "Three Amigos."
  • C. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • D. Lucky You
    Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
  • E. Lucky Me
    "Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
  • 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: Lucky Day
Triple: [Roger Avary, directed, Lucky Day]
Generated description
Lucky Day is a 2019 crime thriller film written and directed by Roger Avary, following a safecracker whose attempt to go straight is derailed by a vengeful hitman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucky Day
Target entity description: Lucky Day is a 2019 crime thriller film written and directed by Roger Avary, following a safecracker whose attempt to go straight is derailed by a vengeful hitman.
  • A. Lucky Day
    Lucky Day is one of the three bumbling silent-film actors who mistakenly become real-life heroes in the comedy film "Three Amigos."
  • B. Lucky Day
    "Lucky Day" is a studio album by Jamaican-American reggae fusion artist Shaggy, known for its upbeat dancehall tracks and catchy pop-infused sound.
  • C. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • D. Lucky You
    Lucky You is a 2007 romantic drama film set in the high-stakes world of professional poker in Las Vegas, starring Eric Bana and Drew Barrymore.
  • E. Lucky Me
    "Lucky Me" is a 1954 Technicolor musical comedy film starring Doris Day as a superstitious chorus girl who finds romance and career opportunities in Miami.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e01cd081909c71fdcf67c3b1f5 completed May 8, 2026, 12:24 p.m.
NEDg Description generation batch_69fdd65a6c24819088fb18ffcdfe6404 completed May 8, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdd6f172288190ba7097518b1a971e completed May 8, 2026, 12:28 p.m.
Created at: April 10, 2026, 1:27 a.m.