Triple

T20700318
Position Surface form Disambiguated ID Type / Status
Subject Golden Earrings E508760 entity
Predicate leadCharacter P1668 FINISHED
Object Lydia
Lydia is the central protagonist of the Dutch film "Golden Earrings," around whom the story’s main drama and character development revolve.
E1446279 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: Lydia | Statement: [Golden Earrings, leadCharacter, Lydia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia
Context triple: [Golden Earrings, leadCharacter, Lydia]
  • A. Lydia
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • B. Lydia
    Lydia is the youngest and most impulsive of the Bennet sisters in Jane Austen's novel "Pride and Prejudice."
  • C. Lydia
    Lydia is a feminine given name of Greek origin, historically associated with the ancient region of Lydia and often interpreted to mean "woman from Lydia" or "beautiful one."
  • D. Lydia
    Lydia is a supporting character in the romantic comedy film "The Other Woman," contributing to the movie’s intertwined story of infidelity and female camaraderie.
  • E. Lydia
    Lydia is a woman mentioned in the New Testament book of Acts, known as a dealer in purple cloth from Thyatira and one of the first recorded converts to Christianity in Europe.
  • 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: Lydia
Triple: [Golden Earrings, leadCharacter, Lydia]
Generated description
Lydia is the central protagonist of the Dutch film "Golden Earrings," around whom the story’s main drama and character development revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lydia
Target entity description: Lydia is the central protagonist of the Dutch film "Golden Earrings," around whom the story’s main drama and character development revolve.
  • A. Lydia
    Lydia is a supporting character in the romantic comedy film "The Other Woman," contributing to the movie’s intertwined story of infidelity and female camaraderie.
  • B. Lydia
    Lydia is a supporting character in the romantic drama film "Sliding Doors," which explores alternate realities in the life of the protagonist.
  • C. Lydia
    Lydia is a central character in Margaret Atwood’s "The Handmaid’s Tale" universe, known as a powerful and morally complex Aunt who helps enforce the oppressive regime of Gilead.
  • D. Lydia
    Lydia is the youngest and most impulsive of the Bennet sisters in Jane Austen's novel "Pride and Prejudice."
  • E. Lydia
    "Lydia" is a 1941 romantic drama film directed by Julien Duvivier and starring Joseph Cotten, known for its reflective narrative about lost love and missed opportunities.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18a77308190b7c2517d82a145cd completed April 21, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08d7ed81dc81908db30e5655b7a6aa completed May 16, 2026, 8:47 p.m.
NEDg Description generation batch_6a08dc9aa1988190b5808af1efe80fe1 completed May 16, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_6a08dd44e64c81908bff61cb81b1fe9a completed May 16, 2026, 9:10 p.m.
Created at: April 16, 2026, 12:12 p.m.