Triple

T8546571
Position Surface form Disambiguated ID Type / Status
Subject Marina E202340 entity
Predicate isComicFoilFor P42265 FINISHED
Object Howard unclear NED1 NE FINISHED

How this triple was built (3 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, isComicFoilFor, Howard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard
Context triple: [Marina, isComicFoilFor, Howard]
  • A. Howard
    Howard is the given name of the influential American film director, producer, and screenwriter Howard Hawks.
  • B. Howard
    Howard is a common English surname shared by numerous notable figures across entertainment, politics, and other fields.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isComicFoilFor
Context triple: [Marina, isComicFoilFor, Howard]
  • A. hasFoilCharacters chosen
    Indicates that one character is contrasted with another to highlight their differing traits, qualities, or roles.
  • B. hasComicSeries
    Indicates that one entity is the comic series to which another entity belongs or with which it is associated.
  • C. hasFictionalIssue
    Indicates that one entity possesses, is associated with, or is characterized by a particular fictional problem, flaw, or complication.
  • D. comicFunction
    Indicates a relationship where something serves a humorous or entertainment role, such as providing comedy, comic relief, or a joking purpose within a context.
  • E. hasFictionalForm
    Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
  • F. None of above.

Provenance (4 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_69cef318417881908619e137f22c6b74 completed April 2, 2026, 10:52 p.m.
PD Predicate disambiguation batch_69cbd113e05c81908f4f3fc1b5925164 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:19 p.m.