Triple
T575749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Me at the zoo |
E13757
|
entity |
| Predicate | recordingDeviceType |
P10596
|
FINISHED |
| Object | consumer camcorder |
—
|
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: consumer camcorder | Statement: [Me at the zoo, recordingDeviceType, consumer camcorder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recordingDeviceType Context triple: [Me at the zoo, recordingDeviceType, consumer camcorder]
-
A.
recordingMethod
Indicates the technique or process used to capture or record something (such as data, audio, or video).
-
B.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
C.
connectsDeviceType
chosen
Indicates a relationship where one entity is associated with or linked to a specific type or category of device.
-
D.
definesDeviceType
Indicates that one entity specifies or assigns the device type classification of another entity.
-
E.
hasRecordingContract
Indicates that an entity is formally bound by an agreement to produce recordings for another entity, typically a record label or similar organization.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b67395c8190a8046ff7debe9d1f |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c692288190b88f30299516b5ba |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.