Triple
T35790165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth Arnold |
E1034671
|
entity |
| Predicate | descriptionOfObjects |
P193626
|
FINISHED |
| Object | crescent-shaped flying objects |
—
|
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: crescent-shaped flying objects | Statement: [Kenneth Arnold, descriptionOfObjects, crescent-shaped flying objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: descriptionOfObjects Context triple: [Kenneth Arnold, descriptionOfObjects, crescent-shaped flying objects]
-
A.
subjectOfDescription
Indicates that the subject is the main entity being described or characterized in a given context or statement.
-
B.
symbolDescription
Indicates that a symbol is associated with or defined by a particular descriptive explanation or meaning.
-
C.
objectMeaning
Indicates that one entity represents, expresses, or conveys the meaning or semantic content of another entity.
-
D.
describesAbove
Indicates that one entity is positioned or depicted vertically higher than another entity in a spatial or representational context.
-
E.
usedInDescriptionOf
Indicates that one entity is employed as part of the descriptive content or explanation of another 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
| PDg | Predicate description generation | batch_69fd4d16dd20819096957c40f43cd971 |
completed | May 8, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:06 p.m.