Triple
T23985370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyabinghi mansions of Rastafari |
E604917
|
entity |
| Predicate | hairPractice |
P16252
|
FINISHED |
| Object | dreadlocks |
—
|
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: dreadlocks | Statement: [Nyabinghi mansions of Rastafari, hairPractice, dreadlocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairPractice Context triple: [Nyabinghi mansions of Rastafari, hairPractice, dreadlocks]
-
A.
haircuttingSkill
Indicates the degree to which one entity is capable of effectively cutting another entity’s hair.
-
B.
hairDetail
chosen
Indicates a relationship that specifies particular characteristics or attributes of an entity’s hair, such as style, color, length, or texture.
-
C.
hairCraftedBy
Indicates that a hairstyle or hair-related work was created or styled by a specific person or agent.
-
D.
homePractice
Indicates that an activity, skill, or task is being practiced or carried out in a home setting rather than in a formal or external environment.
-
E.
hairType
Indicates the specific kind or category of hair an entity has, such as its texture, style, or structural type.
- 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_69e295463f7c8190b1c19dbd114641b9 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d2c10c708190922daf3b3b9555f4 |
completed | April 29, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:32 p.m.