Triple

T5693571
Position Surface form Disambiguated ID Type / Status
Subject Eat Drink Man Woman E125481 entity
Predicate musicBy P1952 FINISHED
Object Mader
Mader is a composer best known for creating the musical score for the Taiwanese film "Eat Drink Man Woman."
 E539308 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: Mader | Statement: [Eat Drink Man Woman, musicBy, Mader]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mader
Context triple: [Eat Drink Man Woman, musicBy, Mader]
  • A. Collip
    Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
  • B. Stearns
    Stearns is the middle name of the influential modernist poet and critic T. S. Eliot, whose full name is Thomas Stearns Eliot.
  • C. Stavertonia
    Stavertonia is a residential annexe of University College, Oxford, providing modern accommodation and facilities for its students.
  • D. Merian
    Merian is a given name most notably borne by Merian C. Cooper, the American filmmaker and co-creator of the classic movie "King Kong."
  • E. Nobatia
    Nobatia was an early medieval Nubian kingdom in Lower Nubia that emerged after the decline of Meroë and later became part of the Christian Nubian state of Makuria.
  • 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: Mader
Triple: [Eat Drink Man Woman, musicBy, Mader]
Generated description
Mader is a composer best known for creating the musical score for the Taiwanese film "Eat Drink Man Woman."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mader
Target entity description: Mader is a composer best known for creating the musical score for the Taiwanese film "Eat Drink Man Woman."
  • A. Collip
    Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
  • B. Stearns
    Stearns is the middle name of the influential modernist poet and critic T. S. Eliot, whose full name is Thomas Stearns Eliot.
  • C. Stavertonia
    Stavertonia is a residential annexe of University College, Oxford, providing modern accommodation and facilities for its students.
  • D. Merian
    Merian is a given name most notably borne by Merian C. Cooper, the American filmmaker and co-creator of the classic movie "King Kong."
  • E. Nobatia
    Nobatia was an early medieval Nubian kingdom in Lower Nubia that emerged after the decline of Meroë and later became part of the Christian Nubian state of Makuria.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05bb76a748190a3b1a289dbd92dee completed March 22, 2026, 9:14 p.m.
NED2 Entity disambiguation (via description) batch_69c05c498c4c8190bfa3ac17fba2b152 completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:44 p.m.