Triple
T16338491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fremantle Dockers |
E396735
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Dockers |
E396735
|
NE 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: Dockers | Statement: [Fremantle Dockers, shortName, Dockers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dockers Context triple: [Fremantle Dockers, shortName, Dockers]
-
A.
Dockers
chosen
Dockers is the common nickname for the Fremantle Dockers, an Australian Football League (AFL) club based in Fremantle, Western Australia.
-
B.
Dockers
Dockers is a popular global clothing brand best known for its casual khaki pants and business-casual apparel.
-
C.
Skopeo
Skopeo is a command-line utility for inspecting, copying, and managing container images across different container registries without requiring a local container engine.
-
D.
Dockery
Dockery is an English surname most notably associated with actress Michelle Dockery, known for her role in the television series "Downton Abbey."
-
E.
Docker
Docker is an open-source platform that uses containerization to package, distribute, and run applications consistently across different computing environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4e6338081908aa03ee3dcbe5f70 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261b31c08190908a72bff20871be |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.