Triple
T9586564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Browne, Viscount Montagu |
E231304
|
entity |
| Predicate | typeOfNobleTitle |
P3782
|
FINISHED |
| Object | viscountcy |
—
|
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: viscountcy | Statement: [Anthony Browne, Viscount Montagu, typeOfNobleTitle, viscountcy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfNobleTitle Context triple: [Anthony Browne, Viscount Montagu, typeOfNobleTitle, viscountcy]
-
A.
nobleTitleNumber
Indicates the ordinal number or sequence position associated with a person's noble title (e.g., first duke, second baron).
-
B.
nobleTitleFrom
Indicates that a person derives or holds their noble title from a specified source, such as a place, lineage, or authority.
-
C.
aristocraticTitleIn
Indicates that an entity holds or is associated with a specific aristocratic or noble title within a particular jurisdiction or context.
-
D.
aristocraticTitleStatus
Indicates the status or condition of an entity’s aristocratic or noble title (e.g., whether and how the title is held, recognized, or used).
-
E.
typeOfPeerage
chosen
Indicates the specific rank or category within a system of peerage that a given title or noble status belongs to.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99eed8288190b74de991bb55b15b |
completed | April 1, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69ccd59fd7408190b36831902e3f37f7 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:06 p.m.