Triple
T294940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanley Cup trustees |
E6071
|
entity |
| Predicate | usesTitle |
P10405
|
FINISHED |
| Object | Trustee of the Stanley Cup |
—
|
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: Trustee of the Stanley Cup | Statement: [Stanley Cup trustees, usesTitle, Trustee of the Stanley Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTitle Context triple: [Stanley Cup trustees, usesTitle, Trustee of the Stanley Cup]
-
A.
containsTitle
Indicates that one entity includes or holds another entity’s title as part of its content or metadata.
-
B.
uscTitle
Indicates that something is identified as a specific title within the United States Code (U.S.C.).
-
C.
usedAsTitleBeforeName
Indicates that a term or phrase functions as a formal title placed immediately before a person's name.
-
D.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
associatedTitle
Indicates that one entity has a title, designation, or formal label that is linked or relevant to another entity.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e273f88190ac5355d1310376ed |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9368894819093eeae4347dfcc5a |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2e9e0d85c8190ae52662d83ea67fe |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.