Triple
T33528402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leicester's Building |
E858706
|
entity |
| Predicate | intendedGuest |
P194142
|
FINISHED |
| Object | Queen Elizabeth I |
—
|
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: Queen Elizabeth I | Statement: [Leicester's Building, intendedGuest, Queen Elizabeth I]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedGuest Context triple: [Leicester's Building, intendedGuest, Queen Elizabeth I]
-
A.
relationshipWithGuests
Indicates the nature or status of the connection or interaction that someone has with their guests.
-
B.
houseguest
Indicates that one entity is staying as a temporary guest in another entity’s home.
-
C.
guestAtWedding
Indicates that a person is attending or has attended a particular wedding as a guest.
-
D.
returnsAsGuestIn
Indicates that an entity comes back to participate or appear again in a context, but specifically in the role or capacity of a guest rather than a regular or primary member.
-
E.
guestOnBoard
Indicates that an entity is currently present as a guest aboard a vehicle, vessel, or similar conveyance.
- 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_69f349781c6c819082c516b260efe7e2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd64bc86848190a49f451a8fc5cf1e |
completed | May 8, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69fd5ff4a648819090756d90fd195d9a |
completed | May 8, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69fd64bb345c819096a35c72784a8ce3 |
completed | May 8, 2026, 4:21 a.m. |
Created at: May 1, 2026, 1:39 a.m.