Triple

T13508939
Position Surface form Disambiguated ID Type / Status
Subject Girl Meets Boy E321085 entity
Predicate featuresCharacter P626 FINISHED
Object Anthea
Anthea is a central character in Ali Smith’s novella "Girl Meets Boy," a modern, queer reimagining of the myth of Iphis.
 E1045684 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: Anthea | Statement: [Girl Meets Boy, featuresCharacter, Anthea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anthea
Context triple: [Girl Meets Boy, featuresCharacter, Anthea]
  • A. Hera Gamelia
    Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
  • B. Thea
    Thea is a feminine given name, often used as a short form of names like Dorothea or Theodora and associated with the Greek word for "goddess."
  • C. Themiste
    Themiste is a figure in Greek mythology known primarily as the mother of Anchises, a Trojan prince and lover of the goddess Aphrodite.
  • D. Phrontis
    Phrontis is a figure in Greek mythology known primarily as the father of the Trojan War hero Euphorbus.
  • E. Agathe Tyche
    Agathe Tyche is the ancient Greek name of the town now known as Agde in southern France, reflecting its origins as a Greek colony.
  • 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: Anthea
Triple: [Girl Meets Boy, featuresCharacter, Anthea]
Generated description
Anthea is a central character in Ali Smith’s novella "Girl Meets Boy," a modern, queer reimagining of the myth of Iphis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anthea
Target entity description: Anthea is a central character in Ali Smith’s novella "Girl Meets Boy," a modern, queer reimagining of the myth of Iphis.
  • A. Hera Gamelia
    Hera Gamelia is an aspect of the Greek goddess Hera worshipped as the protector of marriage and the wedding rite.
  • B. Thea
    Thea is a feminine given name, often used as a short form of names like Dorothea or Theodora and associated with the Greek word for "goddess."
  • C. Themiste
    Themiste is a figure in Greek mythology known primarily as the mother of Anchises, a Trojan prince and lover of the goddess Aphrodite.
  • D. Phrontis
    Phrontis is a figure in Greek mythology known primarily as the father of the Trojan War hero Euphorbus.
  • E. Agathe Tyche
    Agathe Tyche is the ancient Greek name of the town now known as Agde in southern France, reflecting its origins as a Greek colony.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf85a74081909eb08751fc55ce8f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7548e51b881909a3384812556bc3d completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f757108e088190aeec031eccc9aca3 completed May 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69f757e7322c8190b0e36e8373d42ac4 completed May 3, 2026, 2:12 p.m.
Created at: April 9, 2026, 9:43 p.m.