Triple
T29898621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desert Inn |
E759346
|
entity |
| Predicate | hostedGuest |
P2592
|
FINISHED |
| Object | Howard Hughes |
—
|
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: Howard Hughes | Statement: [Desert Inn, hostedGuest, Howard Hughes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedGuest Context triple: [Desert Inn, hostedGuest, Howard Hughes]
-
A.
guestHosted
Indicates that one entity temporarily hosted or presented an event, show, or program in place of or alongside the usual host.
-
B.
hosted
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
C.
host
chosen
Indicates that one entity provides space, resources, or services to accommodate, receive, or entertain another entity.
-
D.
hostedFirst
Indicates that one entity acted as the initial host for another entity, preceding any subsequent hosts.
-
E.
hostedShow
Indicates that one entity served as the host or presenter of a particular show or program involving the other entity.
- 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_69f2245f1cf88190978c70d1a1d2cb73 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 29, 2026, 6:05 p.m.