Triple

T3139195
Position Surface form Disambiguated ID Type / Status
Subject Birth of a Prince E65601 entity
Predicate producer P490 FINISHED
Object Fisherman
Fisherman is a film producer known for working on the movie "Birth of a Prince."
 E332366 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: Fisherman | Statement: [Birth of a Prince, producer, Fisherman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fisherman
Context triple: [Birth of a Prince, producer, Fisherman]
  • A. Pescadores
    Pescadores is the former Western name for the Penghu archipelago, a group of islands in the Taiwan Strait known for their fishing communities and strategic maritime location.
  • B. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • C. Old Man of the Sea
    Old Man of the Sea is a parasitic, mythical figure from the Sinbad tales in One Thousand and One Nights who clings to a victim’s shoulders and forces them to carry him endlessly.
  • D. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • E. Kingfish
    Kingfish is an American rock band best known for its association with Grateful Dead guitarist Bob Weir and its roots in the 1970s Bay Area music scene.
  • 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: Fisherman
Triple: [Birth of a Prince, producer, Fisherman]
Generated description
Fisherman is a film producer known for working on the movie "Birth of a Prince."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fisherman
Target entity description: Fisherman is a film producer known for working on the movie "Birth of a Prince."
  • A. Pescadores
    Pescadores is the former Western name for the Penghu archipelago, a group of islands in the Taiwan Strait known for their fishing communities and strategic maritime location.
  • B. Fiske
    Fiske is the middle name of Harlan F. Stone, who served as Chief Justice of the United States Supreme Court in the mid-20th century.
  • C. Old Man of the Sea
    Old Man of the Sea is a parasitic, mythical figure from the Sinbad tales in One Thousand and One Nights who clings to a victim’s shoulders and forces them to carry him endlessly.
  • D. Fisk
    Fisk is a surname most famously associated with Carlton Fisk, a Hall of Fame Major League Baseball catcher known for his long career with the Boston Red Sox and Chicago White Sox.
  • E. Kingfish
    Kingfish is an American rock band best known for its association with Grateful Dead guitarist Bob Weir and its roots in the 1970s Bay Area music scene.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada575bbac81909b1b95126f488809 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224e11c508190b69c16dfb5313fc2 completed March 12, 2026, 2:28 a.m.
NEDg Description generation batch_69b22534ce008190b3870460b6542a50 completed March 12, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_69b22903b428819083af822577861a6b completed March 12, 2026, 2:46 a.m.
Created at: March 8, 2026, 3:05 p.m.