Triple
T24252829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cromwell Las Vegas |
E603578
|
entity |
| Predicate | celebrityChefAssociated |
P155338
|
FINISHED |
| Object | Giada De Laurentiis |
—
|
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: Giada De Laurentiis | Statement: [The Cromwell Las Vegas, celebrityChefAssociated, Giada De Laurentiis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: celebrityChefAssociated Context triple: [The Cromwell Las Vegas, celebrityChefAssociated, Giada De Laurentiis]
-
A.
knownForDish
Indicates that an entity is recognized or notable for preparing, serving, or being associated with a particular dish.
-
B.
notableIronChef
Indicates that the subject is a chef who is notably recognized for participating in or being associated with the Iron Chef cooking competition.
-
C.
chefTitle
Indicates that one entity holds a specific professional or honorific title in the role of a chef relative to another entity.
-
D.
creatorKnownFor
Indicates that a creator is especially recognized or notable for a particular work, contribution, or achievement.
-
E.
celebratedEntity
Indicates that one entity is honored, praised, or recognized in a special way by another entity or within a particular context.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28b8aff788190bb37fc8ab04bde00 |
completed | April 29, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:05 a.m.