Triple

T12031499
Position Surface form Disambiguated ID Type / Status
Subject Tyler Perry E286419 entity
Predicate notableWork P4 FINISHED
Object For Better or Worse
For Better or Worse is a television comedy-drama series created by Tyler Perry that follows the turbulent relationships and personal lives of a group of couples.
E961389 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: For Better or Worse | Statement: [Tyler Perry, notableWork, For Better or Worse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: For Better or Worse
Context triple: [Tyler Perry, notableWork, For Better or Worse]
  • A. Better and Worse
    "Better and Worse" is a song by the band On Purpose.
  • B. A Better Love
    "A Better Love" is a 1991 dance-pop single by British group Londonbeat, known as the follow-up hit to their chart-topping song "I've Been Thinking About You."
  • C. Shoulda Known Better
    "Shoulda Known Better" is a song featured on the album "Unbreakable."
  • D. Better Than Sex
    Better Than Sex is a 2000 Australian romantic comedy film that follows a brief but intense love affair between two strangers who meet at a party in Sydney.
  • E. Do With Me What You Will
    Do With Me What You Will is a 1973 novel by Joyce Carol Oates that explores complex themes of love, power, and moral ambiguity within a troubled marriage and the legal world.
  • 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: For Better or Worse
Triple: [Tyler Perry, notableWork, For Better or Worse]
Generated description
For Better or Worse is a television comedy-drama series created by Tyler Perry that follows the turbulent relationships and personal lives of a group of couples.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: For Better or Worse
Target entity description: For Better or Worse is a television comedy-drama series created by Tyler Perry that follows the turbulent relationships and personal lives of a group of couples.
  • A. Better and Worse
    "Better and Worse" is a song by the band On Purpose.
  • B. A Better Love
    "A Better Love" is a 1991 dance-pop single by British group Londonbeat, known as the follow-up hit to their chart-topping song "I've Been Thinking About You."
  • C. Shoulda Known Better
    "Shoulda Known Better" is a song featured on the album "Unbreakable."
  • D. Better Than Sex
    Better Than Sex is a 2000 Australian romantic comedy film that follows a brief but intense love affair between two strangers who meet at a party in Sydney.
  • E. Do With Me What You Will
    Do With Me What You Will is a 1973 novel by Joyce Carol Oates that explores complex themes of love, power, and moral ambiguity within a troubled marriage and the legal world.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903f24490819092ec911d6ed8e24b completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d5fd0708190860201a4a8c6fe7c completed May 1, 2026, 12:32 p.m.
NEDg Description generation batch_69f53d930714819080f92d223d930389 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f564b826ec819098906cf735e45093 completed May 2, 2026, 2:43 a.m.
Created at: April 8, 2026, 9:47 p.m.