Triple

T2541853
Position Surface form Disambiguated ID Type / Status
Subject Joseph Cotten E57801 entity
Predicate notableWork P4 FINISHED
Object 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.
E277557 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: [Joseph Cotten, notableWork, Lydia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydia
Context triple: [Joseph Cotten, notableWork, Lydia]
  • A. 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.
  • B. Lydia
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • C. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • D. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • E. Eunice
    Eunice is a feminine given name of Greek origin, commonly associated with women in English-speaking countries.
  • 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: [Joseph Cotten, notableWork, Lydia]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lydia
Target entity description: "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.
  • A. 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.
  • B. Lydia
    Lydia was an ancient Iron Age kingdom in western Anatolia, renowned for its wealth, early coinage, and powerful kings such as Croesus.
  • C. Lucilla
    Lucilla was a Roman imperial princess and daughter of Emperor Marcus Aurelius who became Empress as the wife of Lucius Verus and was later implicated in a plot against her brother Commodus.
  • D. Corinna
    Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
  • E. Eunice
    Eunice is a feminine given name of Greek origin, commonly associated with women in English-speaking countries.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d046430819095605b8a8fd987d5 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5f4be20c8190a0da1a25c7b097b8 completed March 10, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_69af5fe06e6881908e0b11f3101cb0f0 completed March 10, 2026, 12:03 a.m.
Created at: March 6, 2026, 9:47 p.m.