Triple
T25535631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firefly |
E640030
|
entity |
| Predicate | userInput |
P132538
|
FINISHED |
| Object | camera image |
—
|
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: camera image | Statement: [Firefly, userInput, camera image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: userInput Context triple: [Firefly, userInput, camera image]
-
A.
input
Indicates that one entity provides data, signals, or resources that are received or processed by another entity.
-
B.
user
Indicates a relationship where an entity actively operates, controls, or interacts with another entity, typically as the primary agent or consumer of its function.
-
C.
inputIs
chosen
Indicates that one entity serves as the input or provided value to another entity, process, or function.
-
D.
userInterface
Indicates a relationship where one entity serves as the interface or interaction layer through which a user engages with another system, service, or resource.
-
E.
inputType
Indicates the kind or format of data that an entity expects to receive as input in a given context.
- 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_69e75dbfff7081909b0aa779d48321d2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f866376081909ab76a8aa5c3fea7 |
completed | May 2, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 3:22 p.m.