Triple

T6814090
Position Surface form Disambiguated ID Type / Status
Subject St. Elmo's Fire E156708 entity
Predicate hasCharacter P2308 FINISHED
Object Jules
Jules is a central, free-spirited yet troubled young woman in the 1985 coming-of-age film "St. Elmo's Fire," known for her glamorous lifestyle and emotional struggles.
 E654632 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: Jules | Statement: [St. Elmo's Fire, hasCharacter, Jules]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jules
Context triple: [St. Elmo's Fire, hasCharacter, Jules]
  • A. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • B. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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: Jules
Triple: [St. Elmo's Fire, hasCharacter, Jules]
Generated description
Jules is a central, free-spirited yet troubled young woman in the 1985 coming-of-age film "St. Elmo's Fire," known for her glamorous lifestyle and emotional struggles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jules
Target entity description: Jules is a central, free-spirited yet troubled young woman in the 1985 coming-of-age film "St. Elmo's Fire," known for her glamorous lifestyle and emotional struggles.
  • A. Jules
    Jules is a given name most famously associated with French poet Jules Laforgue, a key figure in Symbolist and early modernist literature.
  • B. Jacques
    Jacques is the French form of the given name James, commonly used in French-speaking countries.
  • C. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • D. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32b012481909b73784899ec2a0d completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4fd792481909251c8749d7a11a3 completed March 28, 2026, 2:26 p.m.
NEDg Description generation batch_69c7e5df5eb08190a22e53b95fbc23f2 completed March 28, 2026, 2:29 p.m.
NED2 Entity disambiguation (via description) batch_69c7e64fe200819081901b32523a5fa5 completed March 28, 2026, 2:31 p.m.
Created at: March 27, 2026, 2:17 p.m.