Triple

T1379161
Position Surface form Disambiguated ID Type / Status
Subject La Roche-Posay E29296 entity
Predicate hasProductLine P3585 FINISHED
Object Hyalu B5
Hyalu B5 is a La Roche-Posay skincare range focused on hydrating and plumping the skin with hyaluronic acid-based formulations.
 E158635 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: Hyalu B5 | Statement: [La Roche-Posay, hasProductLine, Hyalu B5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hyalu B5
Context triple: [La Roche-Posay, hasProductLine, Hyalu B5]
  • A. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • B. HBE
    HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • C. Kao
    Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
  • D. BYN
    BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
  • E. BB-36
    BB-36 is the hull classification symbol for USS Nevada, a U.S. Navy battleship notable for its service during both World Wars and survival of the Pearl Harbor attack.
  • 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: Hyalu B5
Triple: [La Roche-Posay, hasProductLine, Hyalu B5]
Generated description
Hyalu B5 is a La Roche-Posay skincare range focused on hydrating and plumping the skin with hyaluronic acid-based formulations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hyalu B5
Target entity description: Hyalu B5 is a La Roche-Posay skincare range focused on hydrating and plumping the skin with hyaluronic acid-based formulations.
  • A. B6
    B6 is the IATA airline designator used to identify JetBlue Airways on tickets, schedules, and flight information systems.
  • B. HBE
    HBE is the IATA airport code for Borg El Arab Airport, the main international airport serving Alexandria, Egypt.
  • C. Kao
    Kao is a Chinese surname borne by numerous individuals, including notable figures in science, business, and the arts.
  • D. BYN
    BYN is the ISO 4217 currency code for the current Belarusian ruble, the official currency of Belarus.
  • E. BB-36
    BB-36 is the hull classification symbol for USS Nevada, a U.S. Navy battleship notable for its service during both World Wars and survival of the Pearl Harbor attack.
  • 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.