Triple

T14028202
Position Surface form Disambiguated ID Type / Status
Subject Jeanne d’Hauteserre E337517 entity
Predicate familyName P18 FINISHED
Object d’Hauteserre
d’Hauteserre is a French surname associated with contemporary public figures such as Parisian politician Jeanne d’Hauteserre.
 E1078513 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: d’Hauteserre | Statement: [Jeanne d’Hauteserre, familyName, d’Hauteserre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: d’Hauteserre
Context triple: [Jeanne d’Hauteserre, familyName, d’Hauteserre]
  • A. Les Ferres
    Les Ferres is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the Provence-Alpes-Côte d’Azur region.
  • B. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • E. Muntelier
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • 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: d’Hauteserre
Triple: [Jeanne d’Hauteserre, familyName, d’Hauteserre]
Generated description
d’Hauteserre is a French surname associated with contemporary public figures such as Parisian politician Jeanne d’Hauteserre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: d’Hauteserre
Target entity description: d’Hauteserre is a French surname associated with contemporary public figures such as Parisian politician Jeanne d’Hauteserre.
  • A. Les Ferres
    Les Ferres is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the Provence-Alpes-Côte d’Azur region.
  • B. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • C. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • D. Clavaleyres
    Clavaleyres is a small Swiss municipality in the canton of Bern, known for its rural character and location near the town of Murten.
  • E. Muntelier
    Muntelier is a small municipality in the canton of Fribourg in western Switzerland, situated near Lake Murten.
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2fa830ac81908cb7df7c9e81e42a completed April 14, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb657ab348190ab51ec0e8caa2c4f completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc6e66c588190931e0a494e7b47ba completed May 7, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_69fcc7728db4819089e11981165c811c completed May 7, 2026, 5:10 p.m.
Created at: April 9, 2026, 10:20 p.m.