Triple
T3937967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Most Noble |
E90959
|
entity |
| Predicate | notUsedForRank |
P12770
|
FINISHED |
| Object | earl |
—
|
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: earl | Statement: [The Most Noble, notUsedForRank, earl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notUsedForRank Context triple: [The Most Noble, notUsedForRank, earl]
-
A.
notAwardedIn
Indicates that a particular award or recognition was not given to an entity within a specified context, such as a year, event, or category.
-
B.
notAwardedFor
Indicates that a particular award, prize, or honor was explicitly not given in recognition of a specified work, achievement, or entity.
-
C.
usesRank
chosen
Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
-
D.
notUsedOnModel
Indicates that a particular item, component, or feature is not applied, installed, or utilized on the specified model.
-
E.
notAdjustedFor
Indicates that a value, measure, or result has not been modified or corrected to account for certain factors, conditions, or variables.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcfd7d48190bbacee8b5b1b5070 |
completed | March 9, 2026, 3:57 p.m. |
| PD | Predicate disambiguation | batch_69aee7625ad4819097e4e8a168c19274 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:24 p.m.