Triple
T8362773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viscount St Alban |
E197049
|
entity |
| Predicate | titleHolderNotableFor |
P66929
|
FINISHED |
| Object | development of the scientific method |
—
|
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: development of the scientific method | Statement: [Viscount St Alban, titleHolderNotableFor, development of the scientific method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderNotableFor Context triple: [Viscount St Alban, titleHolderNotableFor, development of the scientific method]
-
A.
holderNotableFor
Indicates that a holder (such as a person or organization) is particularly known or recognized for a specific role, achievement, work, or characteristic.
-
B.
notableHolder
Indicates that a person or entity is a distinguished or prominent holder of a particular position, title, or role.
-
C.
titleHolderKnownFor
chosen
Indicates that the title holder is recognized or notable for a particular work, achievement, or characteristic.
-
D.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
E.
notableMaster
Indicates that one entity is a distinguished or renowned master (e.g., teacher, mentor, or expert) in relation to another entity.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80768b208190a5f6c9e6cb6e7f30 |
completed | March 31, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6 p.m.