Triple
T25290201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerium Anti-Hairloss Intensive Treatment |
E634060
|
entity |
| Predicate | isPartOfRoutine |
P49660
|
FINISHED |
| Object | anti-hair loss haircare routine |
—
|
LITERAL FINISHED |
How this triple was built (2 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: anti-hair loss haircare routine | Statement: [Kerium Anti-Hairloss Intensive Treatment, isPartOfRoutine, anti-hair loss haircare routine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfRoutine Context triple: [Kerium Anti-Hairloss Intensive Treatment, isPartOfRoutine, anti-hair loss haircare routine]
-
A.
includesRoutine
chosen
Indicates that one entity contains or encompasses another entity as a regular or standard part of its routine or procedure.
-
B.
isPartOfOperation
Indicates that one entity functions as a component, phase, or element within a larger, overarching operation.
-
C.
participatesInExercise
Indicates that an entity takes part in a physical exercise activity or workout.
-
D.
partOfActivity
Indicates that one entity functions as a component, segment, or step within a larger activity or process.
-
E.
stepInRoutine
Indicates that an action or event occurs as an ordered step within a larger, structured routine or sequence of activities.
- F. None of above.
Provenance (3 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 21, 2026, 1:21 p.m.