Triple

T3842490
Position Surface form Disambiguated ID Type / Status
Subject Catherine Lalumière E93484 entity
Predicate familyName P18 FINISHED
Object Lalumière
Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
 E393557 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: Lalumière | Statement: [Catherine Lalumière, familyName, Lalumière]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lalumière
Context triple: [Catherine Lalumière, familyName, Lalumière]
  • A. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • B. Juliénas
    Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Faya-Largeau
    Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
  • E. Les Planards
    Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
  • 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: Lalumière
Triple: [Catherine Lalumière, familyName, Lalumière]
Generated description
Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lalumière
Target entity description: Lalumière is a French surname most notably borne by Catherine Lalumière, a prominent French politician and former European Parliament member.
  • A. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • B. Juliénas
    Juliénas is a French wine appellation in the northern Beaujolais region, known for its structured, aromatic red wines primarily made from the Gamay grape.
  • C. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • D. Faya-Largeau
    Faya-Largeau is the largest oasis town in northern Chad and an important administrative and trade center in the Sahara Desert.
  • E. Les Planards
    Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb397ac81908f74a42a0eeb8682 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040d478081909a903bbf02f0d0ec completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b50492239c8190a6c62504e2a6d130 completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b50863e4a08190bd54274b2212abfc completed March 14, 2026, 7:04 a.m.
Created at: March 9, 2026, 3:18 p.m.