Triple
T27801457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kitchen |
E702252
|
entity |
| Predicate | hasFormerPresenter |
P46400
|
FINISHED |
| Object | Marcela Valladolid |
—
|
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: Marcela Valladolid | Statement: [The Kitchen, hasFormerPresenter, Marcela Valladolid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerPresenter Context triple: [The Kitchen, hasFormerPresenter, Marcela Valladolid]
-
A.
hasFormerParticipant
Indicates that an entity once participated in an activity, event, or organization but is no longer a current participant.
-
B.
hasFormerLeader
Indicates that an entity previously held the role of leader of another entity but no longer does.
-
C.
hasFormerHost
chosen
Indicates that an entity previously served as the host of another entity but no longer holds that hosting role.
-
D.
presentedBefore
Indicates that one entity was formally shown, introduced, or displayed to an audience or recipient prior to another entity in time.
-
E.
hasFormerPatron
Indicates that an entity previously served as a patron or sponsor of another entity, but no longer holds that role.
- 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_69ef8408e0588190977cffa32dc33a29 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 27, 2026, 5:35 p.m.