Triple

T9233861
Position Surface form Disambiguated ID Type / Status
Subject Serge Gainsbourg E221885 entity
Predicate partner P1136 FINISHED
Object Bambou
Bambou is a French singer, actress, and model best known as the longtime companion and muse of musician Serge Gainsbourg in the 1980s.
 E787458 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: Bambou | Statement: [Serge Gainsbourg, partner, Bambou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bambou
Context triple: [Serge Gainsbourg, partner, Bambou]
  • A. Bamboo
    Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
  • B. Bamboo
    Bamboo is a small rural village located in Saint Ann Parish on the northern coast of Jamaica.
  • C. Bagassa
    Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
  • D. Khaya
    Khaya is a genus of tropical African trees in the mahogany family, valued for their high-quality timber.
  • E. Makira
    Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
  • 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: Bambou
Triple: [Serge Gainsbourg, partner, Bambou]
Generated description
Bambou is a French singer, actress, and model best known as the longtime companion and muse of musician Serge Gainsbourg in the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bambou
Target entity description: Bambou is a French singer, actress, and model best known as the longtime companion and muse of musician Serge Gainsbourg in the 1980s.
  • A. Bamboo
    Bamboo is a fast-growing, woody grass known for its tall, hollow stems and widespread use in construction, crafts, and as an ornamental plant.
  • B. Bamboo
    Bamboo is a small rural village located in Saint Ann Parish on the northern coast of Jamaica.
  • C. Bagassa
    Bagassa is a small genus of tropical trees in the mulberry family, known for species such as Bagassa guianensis found in South American rainforests.
  • D. Khaya
    Khaya is a genus of tropical African trees in the mahogany family, valued for their high-quality timber.
  • E. Makira
    Makira is a large, rugged island in the Solomon Islands known for its rich biodiversity, traditional Melanesian cultures, and relatively undeveloped, rainforest-covered interior.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077c31f588190bae2af98e3b71c38 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07bc3c5cc8190a35561279ff0f1a2 completed April 4, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d07c725a0c8190bf905461a38ef65e completed April 4, 2026, 2:50 a.m.
Created at: March 30, 2026, 7:29 p.m.