Triple
T28191286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beautiful (song) |
E716320
|
entity |
| Predicate | DJKhaledFullName |
P164112
|
FINISHED |
| Object | Khaled Mohammed Khaled |
—
|
NE NERFINISHED |
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: Khaled Mohammed Khaled | Statement: [Beautiful (song), DJKhaledFullName, Khaled Mohammed Khaled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DJKhaledFullName Context triple: [Beautiful (song), DJKhaledFullName, Khaled Mohammed Khaled]
-
A.
دين_غالب
Indicates that one religion or belief system dominates, prevails over, or is victorious against another.
-
B.
KarkidakamKnownAs
Indicates that one term is an alternative name or designation by which the month or period called Karkidakam is known.
-
C.
nameInKarakalpak
Indicates that an entity’s name is given or expressed in the Karakalpak language.
-
D.
knownInIslamAs
Indicates that an entity is referred to by a particular name, title, or designation specifically within the context of Islam or Islamic tradition.
-
E.
nameInKurdish
Indicates that an entity is referred to by a particular name in the Kurdish language.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f642cde0e48190a0efd303707a7531 |
completed | May 2, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:25 p.m.