Triple

T18191842
Position Surface form Disambiguated ID Type / Status
Subject Jean-Marie E435554 entity
Predicate componentName P5298 FINISHED
Object Marie
Marie is a given name of French origin commonly used for women and sometimes men in various European and global cultures.
 E27948 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: Marie | Statement: [Jean-Marie, componentName, Marie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marie
Context triple: [Jean-Marie, componentName, Marie]
  • A. Marie
    "Marie" is a 1985 biographical drama film directed by Roger Donaldson, depicting the true story of whistleblower Marie Ragghianti’s fight against political corruption in Tennessee.
  • B. Marie
    Marie is the young protagonist of Alexandre Dumas’s fairy-tale novella "Histoire d’un casse-noisette," an adaptation of the Nutcracker story.
  • C. Marie
    Marie is the central protagonist of the romantic drama film "Passion of Mind," whose life is split between two contrasting realities that blur the line between dream and truth.
  • D. Marie
    Marie is one of the two central characters in the film "Malcolm & Marie," serving as a key figure in its intimate relationship drama.
  • E. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • 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: Marie
Triple: [Jean-Marie, componentName, Marie]
Generated description
Marie is a given name of French origin commonly used for women and sometimes men in various European and global cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marie
Target entity description: Marie is a given name of French origin commonly used for women and sometimes men in various European and global cultures.
  • A. Marie chosen
    Marie is a widely used European given name, especially common in French-speaking countries, derived from the Hebrew name Miryam (Mary).
  • B. Marie
    Marie is an individual known primarily as the spouse of Jess.
  • C. Marie
    Marie is a small mountain village in the Alpes-Maritimes department of southeastern France, known for its picturesque setting in the Tinée Valley of the French Alps.
  • D. Marie
    Marie is the central protagonist of the romantic drama film "Passion of Mind," whose life is split between two contrasting realities that blur the line between dream and truth.
  • E. Marie
    Marie is one of the two central characters in the film "Malcolm & Marie," serving as a key figure in its intimate relationship drama.
  • F. None of above.

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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d05974819094b4a50d081be881 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3e440308190a4e8db168cac5f3e completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b62860008190b8cb143b0efe191c completed May 12, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_6a03b70ad19c81909baba4b2708fbeaf completed May 12, 2026, 11:26 p.m.
Created at: April 10, 2026, 10:31 a.m.