Triple
T25165267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primeval Man |
E630155
|
entity |
| Predicate | writtenByNobleTitleHolder |
P158193
|
FINISHED |
| Object | Duke |
—
|
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: Duke | Statement: [Primeval Man, writtenByNobleTitleHolder, Duke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenByNobleTitleHolder Context triple: [Primeval Man, writtenByNobleTitleHolder, Duke]
-
A.
writtenByNobelLaureate
Indicates that the work or document was authored by a person who has received a Nobel Prize.
-
B.
nobleTitleGranted
Indicates that a noble title has been formally conferred upon an entity by an authorized grantor or authority.
-
C.
honoraryTitleGrantedTo
Indicates that an honorary title has been formally conferred upon a particular entity.
-
D.
hasNoble
Indicates that one entity possesses or is associated with a noble title, status, or noble individual.
-
E.
hasNotableTitleHolderWhoBecame
Indicates that an entity has a notable title holder who later attained or transitioned into another specified role, status, or position.
- F. None of above. chosen
Provenance (4 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46d420c6c8190ae3a7731b4978e6d |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 21, 2026, 12:16 p.m.