Triple
T13725046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The X Factor (Vietnam) |
E329131
|
entity |
| Predicate | hasJudges |
P111314
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The X Factor (Vietnam), hasJudges, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJudges Context triple: [The X Factor (Vietnam), hasJudges, yes]
-
A.
hasJudge
Indicates that a legal case, proceeding, or decision is presided over or decided by a particular judge.
-
B.
hasJudgesRole
Indicates that an entity serves in the capacity or role of a judge within a specified context or system.
-
C.
judgesMayBe
Indicates that certain individuals can serve in the role of judges under specified conditions or classifications.
-
D.
hasJurors
Indicates that one entity serves as or includes jurors in relation to another entity, typically in the context of a legal case or proceeding.
-
E.
hasNotableJudge
Indicates that an entity is associated with a judge who is distinguished, prominent, or otherwise notable in some recognized way.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.