Triple
T1185134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquess of Abercorn |
E25227
|
entity |
| Predicate | isNobleTitle |
P914
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Marquess of Abercorn, isNobleTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNobleTitle Context triple: [Marquess of Abercorn, isNobleTitle, true]
-
A.
isRoyalTitle
Indicates that something is a formal title associated with royalty or a royal rank.
-
B.
nobleTitleNumber
Indicates the ordinal number or sequence position associated with a person's noble title (e.g., first duke, second baron).
-
C.
associatedNobleTitle
chosen
Indicates that an entity is linked to or bears a particular noble or aristocratic title.
-
D.
honorificTitle
Indicates that one entity serves as a formal honorific or respectful title used to address or refer to another entity.
-
E.
hasPatronalTitle
Indicates that an entity holds or is associated with a specific patronal or honorific title, typically reflecting patronage, protection, or dedication.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd39245881908766c41943dc2752 |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.