Triple

T8546547
Position Surface form Disambiguated ID Type / Status
Subject Marina E202340 entity
Predicate isLoveInterestOf P26473 FINISHED
Object Howard
Howard is a fictional character best known as the romantic interest of Marina in their shared narrative.
E746431 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: Howard | Statement: [Marina, isLoveInterestOf, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard
Context triple: [Marina, isLoveInterestOf, Howard]
  • A. Howard
    Howard is one of Sethe’s sons in Toni Morrison’s novel "Beloved," a child whose life is shaped by the trauma and legacy of slavery.
  • B. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • C. Howard
    Howard is a common English surname shared by numerous notable figures across entertainment, politics, and other fields.
  • D. Howard
    Howard is the middle name of William Howard Taft, the 27th president of the United States and later Chief Justice of the Supreme Court.
  • E. Howard
    Howard is a masculine given name of Old English origin meaning "high guardian" or "noble watchman," borne by numerous notable figures across politics, arts, and academia.
  • 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: Howard
Triple: [Marina, isLoveInterestOf, Howard]
Generated description
Howard is a fictional character best known as the romantic interest of Marina in their shared narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Howard
Target entity description: Howard is a fictional character best known as the romantic interest of Marina in their shared narrative.
  • A. Howard
    Howard is a young boy who serves as a minor but symbolically important character in the play "Inherit the Wind," representing the town’s impressionable youth amid the evolution-versus-creationism trial.
  • B. Howard
    Howard is one of Sethe’s sons in Toni Morrison’s novel "Beloved," a child whose life is shaped by the trauma and legacy of slavery.
  • C. Howard
    Howard is the given first name of Ward Cunningham, the American computer programmer best known for creating the first wiki.
  • D. Howard
    Howard is a common English surname shared by numerous notable figures across entertainment, politics, and other fields.
  • E. Howard
    Howard is the given first name of Duane Allman, the influential American guitarist and co-founder of the Allman Brothers Band.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe7511f8c819083d69fb6a0b55801 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb7b60d88190a22ebf69696cd8e5 completed April 2, 2026, 6:54 p.m.
NEDg Description generation batch_69cebcf05508819092af0939ab66fefe completed April 2, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_69cebdc106a08190a4389d584b6f96d5 completed April 2, 2026, 7:04 p.m.
Created at: March 30, 2026, 6:19 p.m.