Triple

T8666922
Position Surface form Disambiguated ID Type / Status
Subject Norman Wisdom comedies E205698 entity
Predicate notableWork P4 FINISHED
Object Just My Luck
Just My Luck is a 1957 British comedy film starring Norman Wisdom as a timid jeweller’s assistant whose attempts to improve his luck lead to a series of chaotic misadventures.
 E749459 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: Just My Luck | Statement: [Norman Wisdom comedies, notableWork, Just My Luck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Just My Luck
Context triple: [Norman Wisdom comedies, notableWork, Just My Luck]
  • A. 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.
  • B. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • C. 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.
  • D. Lucky Me
    "Lucky Me" is a track featured on Big Sean's 2020 hip-hop album "Detroit 2."
  • E. Wishing I Was Lucky
    "Wishing I Was Lucky" is the debut single by Scottish pop band Wet Wet Wet, which introduced their soulful pop sound to a wide audience in the late 1980s.
  • 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: Just My Luck
Triple: [Norman Wisdom comedies, notableWork, Just My Luck]
Generated description
Just My Luck is a 1957 British comedy film starring Norman Wisdom as a timid jeweller’s assistant whose attempts to improve his luck lead to a series of chaotic misadventures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Just My Luck
Target entity description: Just My Luck is a 1957 British comedy film starring Norman Wisdom as a timid jeweller’s assistant whose attempts to improve his luck lead to a series of chaotic misadventures.
  • A. 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.
  • B. My Lucky Day
    "My Lucky Day" is a rock song by Bruce Springsteen featured on his 2009 album *Working on a Dream*.
  • C. 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.
  • D. Lucky Me
    "Lucky Me" is a track featured on Big Sean's 2020 hip-hop album "Detroit 2."
  • E. Wishing I Was Lucky
    "Wishing I Was Lucky" is the debut single by Scottish pop band Wet Wet Wet, which introduced their soulful pop sound to a wide audience in the late 1980s.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48a34b808190aa9aed9cdb2900e6 completed March 31, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd1ca88c8190a3b2ca79a7204248 completed April 2, 2026, 8:10 p.m.
NEDg Description generation batch_69cece8e5afc8190912b6eb9c80dd073 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf8ee4f48190bb901e35ade91b6c completed April 2, 2026, 8:20 p.m.
Created at: March 30, 2026, 6:31 p.m.