Triple
T6115073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Arnold |
E136338
|
entity |
| Predicate | languageOfReporting |
P38135
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Ken Arnold, languageOfReporting, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfReporting Context triple: [Ken Arnold, languageOfReporting, English]
-
A.
languageOfCommunications
Indicates that a specified language is used as the medium for communications associated with an entity or interaction.
-
B.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
C.
languageOfInterpretation
Indicates the language in which something (such as text, speech, or content) is interpreted or understood.
-
D.
languageOfCoverage
chosen
Indicates the language in which the coverage, such as reporting or documentation about something, is expressed.
-
E.
languageOfTransmission
Indicates the language used to convey or transmit the content or information in a given communication or resource.
- 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.