Triple
T12916524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquess of Queensberry |
E308999
|
entity |
| Predicate | titleHolderInvolvedIn |
P15562
|
FINISHED |
| Object | libel case with Oscar Wilde |
—
|
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: libel case with Oscar Wilde | Statement: [Marquess of Queensberry, titleHolderInvolvedIn, libel case with Oscar Wilde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderInvolvedIn Context triple: [Marquess of Queensberry, titleHolderInvolvedIn, libel case with Oscar Wilde]
-
A.
titleHolderKnownFor
Indicates that the title holder is recognized or notable for a particular work, achievement, or characteristic.
-
B.
titleHolderRelationship
Indicates a relationship where one entity holds, possesses, or bears a specific title in connection to another entity or context.
-
C.
titleHolderNotably
Indicates that an entity holds a particular title in a way that is especially notable, distinguished, or worthy of specific mention.
-
D.
titleHolderBelongsTo
Indicates that the holder of a title is associated with or belongs to a particular entity, such as an organization, position, or domain.
-
E.
involvedActor
chosen
Indicates that an entity participates as an actor or participant in the referenced event, activity, or situation.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa9b7708190a9e9fa30f59ff580 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:41 p.m.