Triple
T6115061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Arnold |
E136338
|
entity |
| Predicate | sightingDescription |
P8700
|
FINISHED |
| Object | reported seeing nine unidentified 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: reported seeing nine unidentified flying objects | Statement: [Ken Arnold, sightingDescription, reported seeing nine unidentified flying objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sightingDescription Context triple: [Ken Arnold, sightingDescription, reported seeing nine unidentified flying objects]
-
A.
sightType
Indicates the specific kind or category of sight or visual perception associated with an entity or event.
-
B.
observationType
chosen
Indicates the specific kind or category of observation being made or recorded in a given context.
-
C.
speciesDescription
Indicates a textual description that characterizes or explains the features, traits, or nature of a species.
-
D.
hasNearbyWildlife
Indicates that there is wildlife located close to or in the immediate vicinity of the referenced entity.
-
E.
landSightedBy
Indicates that a particular area of land has been visually observed or detected by a specified observer.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc0bee08190ab93eae34ea8cdde |
completed | March 22, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c049f80e2081909b7d84a104cda68d |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:14 p.m.