Triple
T5606997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger & Gallet |
E147257
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object |
Bois d’Orange
Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
|
E536932
|
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: Bois d’Orange | Statement: [Roger & Gallet, hasProductLine, Bois d’Orange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bois d’Orange Context triple: [Roger & Gallet, hasProductLine, Bois d’Orange]
-
A.
Lignum vitae
Lignum vitae is a dense, extremely hard tropical hardwood tree native to the Caribbean, renowned for its durable wood and medicinal resin.
-
B.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
C.
Sakao
Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
-
D.
Palme
Palme is a Swedish surname most famously associated with Olof Palme, the former Prime Minister of Sweden and prominent Social Democratic politician.
-
E.
Algarrobo
Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
- 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: Bois d’Orange Triple: [Roger & Gallet, hasProductLine, Bois d’Orange]
Generated description
Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bois d’Orange Target entity description: Bois d’Orange is a citrus-inspired fragrance line by Roger & Gallet known for its fresh, orange-blossom and woody notes.
-
A.
Lignum vitae
Lignum vitae is a dense, extremely hard tropical hardwood tree native to the Caribbean, renowned for its durable wood and medicinal resin.
-
B.
Tanne
Tanne is a small village in the Harz region of central Germany, now part of the town of Oberharz am Brocken.
-
C.
Sakao
Sakao is an Oceanic language spoken on the island of Espiritu Santo in Vanuatu, noted for its complex phonology and distinctive sound changes.
-
D.
Palme
Palme is a Swedish surname most famously associated with Olof Palme, the former Prime Minister of Sweden and prominent Social Democratic politician.
-
E.
Algarrobo
Algarrobo is a coastal resort town in central Chile known for its beaches and large vacation developments along the Pacific Ocean.
- 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_69c0090500f881908374285baf0ac46f |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020fbb8748190841e5e09db3feef1 |
completed | March 22, 2026, 5:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d4465388190b28f47f11e133b6a |
completed | March 22, 2026, 8:12 p.m. |
| NEDg | Description generation | batch_69c04e88680c8190845723f52c060fb7 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f7b889c81909db7cb4baf40ed80 |
completed | March 22, 2026, 8:22 p.m. |
Created at: March 22, 2026, 3:39 p.m.