Triple
T3778401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baronetage of the United Kingdom |
E83361
|
entity |
| Predicate | entitlesToPrefix |
P536
|
FINISHED |
| Object | Sir for male holder |
—
|
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: Sir for male holder | Statement: [Baronetage of the United Kingdom, entitlesToPrefix, Sir for male holder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entitlesToPrefix Context triple: [Baronetage of the United Kingdom, entitlesToPrefix, Sir for male holder]
-
A.
namePrefix
Indicates that one entity is a prefix or leading part of another entity’s name.
-
B.
honorificPrefix
chosen
Indicates the formal title or respectful prefix (e.g., "Dr.", "Mr.", "Prof.") used before a person's name to denote status, role, or honor.
-
C.
standardPrefix
Indicates that one entity serves as the conventional or officially recognized prefix used before another entity.
-
D.
hasHonorificPrefix
Indicates that one entity is used as an honorific title or prefix attached to another entity’s name.
-
E.
registrationPrefix
Indicates that an entity has a specific registration prefix code assigned to it as part of its official registration or identification.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc78173081908b230017834cdf9e |
completed | March 8, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69adc050cc5c81909d9855f866f3c26d |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:36 p.m.