Triple

T2260945
Position Surface form Disambiguated ID Type / Status
Subject Romina Power E50036 entity
Predicate notableWork P4 FINISHED
Object Justine
Justine is a film featuring actress and singer Romina Power, known as one of her notable screen roles.
 E249269 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: Justine | Statement: [Romina Power, notableWork, Justine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Justine
Context triple: [Romina Power, notableWork, Justine]
  • A. Therese
    Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
  • B. Jeanne
    Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
  • C. Emilie
    Emilie is a young French girl in Michael Morpurgo’s novel and its film adaptation "War Horse," who befriends and cares for the horses Joey and Topthorn during World War I.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • 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: Justine
Triple: [Romina Power, notableWork, Justine]
Generated description
Justine is a film featuring actress and singer Romina Power, known as one of her notable screen roles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Justine
Target entity description: Justine is a film featuring actress and singer Romina Power, known as one of her notable screen roles.
  • A. Therese
    Therese is a feminine given name of French origin, commonly associated with Christian saints and used in various European cultures.
  • B. Jeanne
    Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
  • C. Emilie
    Emilie is a young French girl in Michael Morpurgo’s novel and its film adaptation "War Horse," who befriends and cares for the horses Joey and Topthorn during World War I.
  • D. Louise
    Louise is a feminine given name of French origin, traditionally associated with nobility and widely used in many European and English-speaking countries.
  • E. Claudine
    Claudine is a feminine given name of French origin, historically popular in Francophone countries and used internationally.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc18aa9d48190893ca32558730e9c completed March 7, 2026, 6:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71cb1540819093db7f91ae66c19f completed March 9, 2026, 7:07 a.m.
NEDg Description generation batch_69ae72a2b92c8190a7d4ff441f1cb1ce completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae732a7cf08190b119ca7809350269 completed March 9, 2026, 7:13 a.m.
Created at: March 4, 2026, 7:48 p.m.