Triple
T28585261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regi Allen |
E723480
|
entity |
| Predicate | hairProfessionSpecialty |
P154562
|
FINISHED |
| Object | nail care |
—
|
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: nail care | Statement: [Regi Allen, hairProfessionSpecialty, nail care]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairProfessionSpecialty Context triple: [Regi Allen, hairProfessionSpecialty, nail care]
-
A.
hairSpecialty
chosen
Indicates a professional focus or expertise in working with a particular type, style, or treatment of hair.
-
B.
hairCraftedBy
Indicates that a hairstyle or hair-related work was created or styled by a specific person or agent.
-
C.
haircuttingSkill
Indicates the degree to which one entity is capable of effectively cutting another entity’s hair.
-
D.
hairdressingClientele
Indicates that one entity serves as the customer or client receiving hairdressing services from another entity.
-
E.
styleSpecialty
Indicates a relationship where an entity’s expertise, focus, or specialization is in a particular style or stylistic approach.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f650cef6c88190b119b2d0ea9ea4cf |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 4:17 a.m.