Triple
T10356130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussein Chalayan |
E244001
|
entity |
| Predicate | appointmentYearMBE |
P93844
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Hussein Chalayan, appointmentYearMBE, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentYearMBE Context triple: [Hussein Chalayan, appointmentYearMBE, 2006]
-
A.
authorizationYear
Indicates the year in which an official approval, permission, or authorization for something was granted.
-
B.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
C.
appointedQueenCounselYear
Indicates the year in which an individual was formally appointed as Queen’s Counsel.
-
D.
calledToTheBarAt
Indicates that a person has been formally admitted and authorized to practice as a barrister by a specific legal institution or jurisdiction at a certain time.
-
E.
applicationYear
Indicates the year in which an application was submitted or made.
- F. None of above. chosen
Provenance (4 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e954a0b8819083e4bd1fa47dc6f5 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:58 a.m.