Triple
T385188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Roosevelt Hotel |
E8764
|
entity |
| Predicate | hostedEventDate |
P830
|
FINISHED |
| Object | 1929-05-16 |
—
|
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: 1929-05-16 | Statement: [Hollywood Roosevelt Hotel, hostedEventDate, 1929-05-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedEventDate Context triple: [Hollywood Roosevelt Hotel, hostedEventDate, 1929-05-16]
-
A.
hostsEvent
Indicates that an entity organizes and provides the venue or setting for an event to take place.
-
B.
dateOfRelatedEvent
chosen
Indicates that there is a specific date on which a related event associated with the subject occurs or occurred.
-
C.
ceremonyHeldOn
Indicates that a specific ceremony took place on a particular date or day.
-
D.
sportsEventHosted
Indicates that a particular sports event was organized, arranged, or held by a specified host entity (such as a venue, organization, or city).
-
E.
notableEventDate
Indicates the date on which a notable or significant event associated with the subject occurred.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec4345a48190a413261cba4eafd7 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e967d84c8190a6b647f78d95d4e4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.