Triple

T7853119
Position Surface form Disambiguated ID Type / Status
Subject Anita Louise E182104 entity
Predicate familyName P18 FINISHED
Object Fremault
Fremault is the surname of American film and television actress Anita Louise.
E710860 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: Fremault | Statement: [Anita Louise, familyName, Fremault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fremault
Context triple: [Anita Louise, familyName, Fremault]
  • A. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • B. Fougères
    Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
  • C. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • D. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • E. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • 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: Fremault
Triple: [Anita Louise, familyName, Fremault]
Generated description
Fremault is the surname of American film and television actress Anita Louise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fremault
Target entity description: Fremault is the surname of American film and television actress Anita Louise.
  • A. Villefontaine
    Villefontaine is a commune in the Isère department of southeastern France, known as a suburban town within the Grenoble urban area.
  • B. Fougères
    Fougères is a historic town in Brittany, northwestern France, known for its impressive medieval castle and well-preserved old quarter.
  • C. Ducos
    Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
  • D. Vaujours
    Vaujours is a small suburban commune in the northeastern outskirts of Paris, France.
  • E. Remigny
    Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ed56d481909266d862e0ae152d completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc639e0fd48190af995cb50f4555ff completed April 1, 2026, 12:15 a.m.
NEDg Description generation batch_69cc64bd6a088190b77e2709c76579e4 completed April 1, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_69cc66b0e1548190840e4335ff2b130f completed April 1, 2026, 12:28 a.m.
Created at: March 30, 2026, 4:51 p.m.