Triple
T1379158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Roche-Posay |
E29296
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object |
Toleriane
Toleriane is a skincare line by La Roche-Posay formulated for sensitive and intolerant skin, focusing on minimal ingredients and high tolerance.
|
E158632
|
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: Toleriane | Statement: [La Roche-Posay, hasProductLine, Toleriane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toleriane Context triple: [La Roche-Posay, hasProductLine, Toleriane]
-
A.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
B.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
-
C.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
-
D.
Trauen
Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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: Toleriane Triple: [La Roche-Posay, hasProductLine, Toleriane]
Generated description
Toleriane is a skincare line by La Roche-Posay formulated for sensitive and intolerant skin, focusing on minimal ingredients and high tolerance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toleriane Target entity description: Toleriane is a skincare line by La Roche-Posay formulated for sensitive and intolerant skin, focusing on minimal ingredients and high tolerance.
-
A.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
B.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
-
C.
Tiltil
Tiltil is a small town and commune in central Chile known for its rural character and historical significance within the Santiago Metropolitan Region.
-
D.
Trauen
Trauen is a village in Lower Saxony, Germany, known for hosting a research facility of the German Aerospace Center (DLR).
-
E.
Hallidie
Hallidie is a surname most notably associated with Andrew Smith Hallidie, the 19th-century engineer credited with pioneering San Francisco’s cable car system.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3187f248190a5813274b0ef944d |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48a48fc81908b156c273cb5dfc0 |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd77d879881908decae7056bfd277 |
completed | March 8, 2026, 1:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd81c7c1081908b65ca5a57f8706e |
completed | March 8, 2026, 1:59 a.m. |
Created at: March 1, 2026, 7:59 p.m.