Triple
T25880599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Goodson |
E652035
|
entity |
| Predicate | networkOfWorkContext |
P160695
|
FINISHED |
| Object | FX |
—
|
NE NERFINISHED |
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: FX | Statement: [Charlie Goodson, networkOfWorkContext, FX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkOfWorkContext Context triple: [Charlie Goodson, networkOfWorkContext, FX]
-
A.
networkOfWorkAppearedIn
Indicates that a work is part of, or appears within, a particular network or collection of related works.
-
B.
netWork
Indicates a relationship where entities are connected or interact within a shared system, structure, or set of links that enables communication or exchange.
-
C.
organizationContext
Indicates that one entity operates within, is associated with, or is relevant to the organizational setting or environment defined by another entity.
-
D.
laterNetworkOfWork
Indicates that one work is created or occurs later in time than another work within the same network or sequence of related works.
-
E.
nationalContextOfWork
Indicates the country or national setting within which the work or activity is carried out.
- F. None of above. chosen
Provenance (4 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f60459a53c8190bbd90e80890eebcd |
completed | May 2, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f603b90c94819088d62cb9489e95ff |
completed | May 2, 2026, 2:01 p.m. |
Created at: April 22, 2026, 8:16 a.m.