Triple
T24859845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Father Brown |
E622122
|
entity |
| Predicate | methodOfDetection |
P156114
|
FINISHED |
| Object | psychological insight |
—
|
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: psychological insight | Statement: [Father Brown, methodOfDetection, psychological insight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfDetection Context triple: [Father Brown, methodOfDetection, psychological insight]
-
A.
hasModeOfDetection
chosen
Indicates that one entity is identified, measured, or observed using a specified method or technique of detection.
-
B.
errorDetectionMethod
Indicates the method or technique used to detect errors in a process, system, or data.
-
C.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
D.
mainDetector
Indicates that an entity serves as the primary or principal detector in relation to another entity or system.
-
E.
binaryDetectionMethod
Indicates a method or technique used to detect or distinguish between two possible states, conditions, or outcomes.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:21 a.m.