Triple
T25784623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita v. United States |
E649385
|
entity |
| Predicate | postBookerCase |
P159263
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Rita v. United States, postBookerCase, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postBookerCase Context triple: [Rita v. United States, postBookerCase, true]
-
A.
bookingModel
Indicates a relationship where an entity uses or is associated with a specific model or schema that defines how bookings are structured, processed, or represented.
-
B.
headBooker
Indicates that one entity serves as the primary organizer or decision-maker (e.g., main scheduler or match-maker) for another entity within an event or production context.
-
C.
bookingHubFor
Indicates that one entity serves as the central platform or system through which bookings or reservations are made for another entity.
-
D.
hasBooker
Indicates that one entity serves as the booking agent or person responsible for arranging engagements for another entity.
-
E.
bookingDecisionBy
Indicates that a particular entity (such as a person or system) is responsible for making the decision to create, confirm, modify, or cancel a booking.
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fef935a8819083bc9cefa4a72f8e |
completed | May 2, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 5:53 a.m.