Triple
T12060500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Chatto |
E287154
|
entity |
| Predicate | hasTitleOrStyle |
P18941
|
FINISHED |
| Object | Mr |
—
|
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: Mr | Statement: [Daniel Chatto, hasTitleOrStyle, Mr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleOrStyle Context triple: [Daniel Chatto, hasTitleOrStyle, Mr]
-
A.
includesTitleStyle
Indicates that one entity incorporates or specifies a particular style or formatting for a title associated with it.
-
B.
hasTitleType
chosen
Indicates that an entity holds a specific kind or category of title (such as job title, honorific, or formal designation).
-
C.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
D.
hasTitleRole
Indicates that an entity holds or is assigned a specific title or role in relation to another entity.
-
E.
hasTitleFrom
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bda47c8190b94860b31df4a98c |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:48 p.m.