Triple
T15462376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miami Dolphins Ring of Honor |
E371934
|
entity |
| Predicate | displayForm |
P7148
|
FINISHED |
| Object | names displayed inside the stadium |
—
|
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: names displayed inside the stadium | Statement: [Miami Dolphins Ring of Honor, displayForm, names displayed inside the stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayForm Context triple: [Miami Dolphins Ring of Honor, displayForm, names displayed inside the stadium]
-
A.
visualForm
Indicates the visual appearance, shape, or structural pattern that characterizes how something looks.
-
B.
displayType
chosen
Indicates the manner or format in which something is presented, shown, or rendered.
-
C.
displayState
Indicates the current visual or presentation status of an item, such as whether and how it is shown, hidden, or rendered in a user interface or display context.
-
D.
givesForm
Indicates that one entity provides or supplies a form (such as a document, template, or structured format) to another entity.
-
E.
viewOnForms
Indicates that one entity has a particular perspective, opinion, or stance regarding forms, form-related processes, or form usage.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1927708190a0d2b63e75469a0e |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:32 a.m.