Triple
T14784663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmine Zola |
E347481
|
entity |
| Predicate | degreeOfNotability |
P101773
|
FINISHED |
| Object | low |
—
|
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: low | Statement: [Carmine Zola, degreeOfNotability, low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: degreeOfNotability Context triple: [Carmine Zola, degreeOfNotability, low]
-
A.
notableLevel
chosen
Indicates the degree or extent to which something is considered notable or significant.
-
B.
relativeNotability
Indicates how notable or prominent one entity is in comparison to another entity or set of entities.
-
C.
notableRank
Indicates that an entity holds a distinguished or significant position or level within a ranking or hierarchy.
-
D.
unitOfProminence
Indicates that one entity specifies the unit or scale in which the prominence or significance of another entity is measured or expressed.
-
E.
hasMannerOfNotoriety
Indicates that an entity is known or recognized in a particular way, specifying the manner or type of its notoriety.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.