Triple
T38390088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingsman organization |
E899688
|
entity |
| Predicate | codeNameConvention |
P55768
|
FINISHED |
| Object | Knights of the Round Table |
—
|
NE NERFINISHED |
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: Knights of the Round Table | Statement: [Kingsman organization, codeNameConvention, Knights of the Round Table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeNameConvention Context triple: [Kingsman organization, codeNameConvention, Knights of the Round Table]
-
A.
namespaceConvention
Indicates the naming and structural rules that govern how namespaces are defined, organized, and referenced in a system.
-
B.
namingConventionType
chosen
Indicates the specific style or set of rules used for naming entities or elements in a given context.
-
C.
logicConvention
Indicates a relationship where entities participate in or are associated with a convention, event, or standard related to logic or logical systems.
-
D.
namingConventionPart
Indicates that one element functions as a specific component or segment within a larger naming convention.
-
E.
namingConventionContext
Indicates the contextual rules or patterns that govern how something is named within a particular system or setting.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.