Triple
T22364698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona State University Sports Hall of Fame |
E552871
|
entity |
| Predicate | honorsLevel |
P337
|
FINISHED |
| Object | lifetime achievement |
—
|
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: lifetime achievement | Statement: [Arizona State University Sports Hall of Fame, honorsLevel, lifetime achievement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsLevel Context triple: [Arizona State University Sports Hall of Fame, honorsLevel, lifetime achievement]
-
A.
honorLevel
chosen
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
B.
collegeHonors
Indicates that an individual has received formal academic honors or distinctions from a college.
-
C.
honorsSchool
Indicates that a school has received recognition, distinction, or special status for high achievement or excellence.
-
D.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
E.
honorsNumber
Indicates that one entity formally recognizes or commemorates another by assigning or associating a specific number with it.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157ffba088190ae455508eb6c2a9c |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.