Triple
T14275169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Dancing |
E353895
|
entity |
| Predicate | hasHosts |
P113543
|
FINISHED |
| Object | television presenters |
—
|
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: television presenters | Statement: [Come Dancing, hasHosts, television presenters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHosts Context triple: [Come Dancing, hasHosts, television presenters]
-
A.
hasSiblingHosts
Indicates that two or more entities share at least one common host, making them sibling hosts in relation to that shared hosting entity.
-
B.
hasMainHost
Indicates that one entity serves as the primary or principal host for another entity.
-
C.
hasNotableHost
Indicates that an entity is associated with a host who is particularly prominent, famous, or otherwise noteworthy.
-
D.
numberOfHosts
Indicates the total count of distinct hosts associated with or involved in a given entity or event.
-
E.
hasHostNation
Indicates that one entity serves as the host nation for another entity, such as an event, organization, or activity.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6582f5308190969f4cfd724d9139 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.