Triple
T8330000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caesarean text-type |
E195050
|
entity |
| Predicate | notableManuscriptFamily |
P82131
|
FINISHED |
| Object | Family 1 |
—
|
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: Family 1 | Statement: [Caesarean text-type, notableManuscriptFamily, Family 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableManuscriptFamily Context triple: [Caesarean text-type, notableManuscriptFamily, Family 1]
-
A.
notableManuscriptFeature
Indicates that a manuscript possesses a specific distinguishing characteristic, attribute, or element that is considered noteworthy or significant.
-
B.
notableHolderFamily
Indicates that a particular family is notably associated with holding, possessing, or being custodians of the referenced entity.
-
C.
notableFamilyFor
Indicates that a family is particularly recognized or distinguished for a specific person, achievement, role, or characteristic.
-
D.
writtenInSameManuscriptAs
Indicates that two written works or textual items appear together within the same physical or digital manuscript.
-
E.
areManuscriptsOf
Indicates that the subject entities are manuscripts that are versions, copies, or instances of the work represented by the object entity.
- 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_69ca82e87f2c8190bdb71ee29dfc642d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fb995508190b2ca94ad45bf6d24 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c3231c81909e3d463192c9de22 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:56 p.m.