Triple

T11365034
Position Surface form Disambiguated ID Type / Status
Subject Monique Stalens E269180 entity
Predicate familyName P18 FINISHED
Object Stalens
Stalens is a French family name notably borne by actress and director Monique Stalens.
E921579 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: Stalens | Statement: [Monique Stalens, familyName, Stalens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stalens
Context triple: [Monique Stalens, familyName, Stalens]
  • A. Skanstull
    Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
  • B. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • C. Striegistal
    Striegistal is a municipality in the district of Mittelsachsen in the German state of Saxony, known for its rural landscape and small villages.
  • D. Stangeland
    Stangeland is a locality within the municipality of Karmøy in Rogaland county, Norway.
  • E. Stal
    Stal is the commonly used short name and nickname of the Polish football club Stal Mielec.
  • 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: Stalens
Triple: [Monique Stalens, familyName, Stalens]
Generated description
Stalens is a French family name notably borne by actress and director Monique Stalens.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stalens
Target entity description: Stalens is a French family name notably borne by actress and director Monique Stalens.
  • A. Skanstull
    Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
  • B. Stäket
    Stäket is a locality in the northern Stockholm region of Sweden, situated within Järfälla Municipality and known for its residential areas and proximity to Lake Mälaren.
  • C. Striegistal
    Striegistal is a municipality in the district of Mittelsachsen in the German state of Saxony, known for its rural landscape and small villages.
  • D. Stangeland
    Stangeland is a locality within the municipality of Karmøy in Rogaland county, Norway.
  • E. Stal
    Stal is the commonly used short name and nickname of the Polish football club Stal Mielec.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55667d4908190b6290135eba41e54 completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562c6e7c8819098d22a6e0daa4a51 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a472f0c819086c1cccaa5ca0ae7 completed April 19, 2026, 11:50 p.m.
Created at: April 8, 2026, 9:33 p.m.