Triple
T12341111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Ireland |
E294226
|
entity |
| Predicate | holderStatus |
P88974
|
FINISHED |
| Object | consort |
—
|
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: consort | Statement: [Queen of Ireland, holderStatus, consort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderStatus Context triple: [Queen of Ireland, holderStatus, consort]
-
A.
statusOfHolder
chosen
Indicates the current condition, role, or standing associated with the entity that holds or possesses something.
-
B.
holderIs
Indicates that one entity serves as the holder, possessor, or container of another entity.
-
C.
holderMayBe
Indicates that a particular entity is allowed or permitted to serve as the holder or possessor of another entity.
-
D.
holderService
Indicates that one entity provides or is responsible for a service on behalf of another entity that holds or owns it.
-
E.
sponsorStatus
Indicates the current state or condition of an entity’s sponsorship relationship, such as whether it is active, pending, or inactive.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7758dc8190bbc6a9ad00b01dce |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.