Triple
T36970578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gonzaga Preparatory School |
E914553
|
entity |
| Predicate | alumnusHonor |
P117055
|
FINISHED |
| Object | Naismith Memorial Basketball Hall of Famer |
E76235
|
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: Naismith Memorial Basketball Hall of Famer | Statement: [Gonzaga Preparatory School, alumnusHonor, Naismith Memorial Basketball Hall of Famer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alumnusHonor Context triple: [Gonzaga Preparatory School, alumnusHonor, Naismith Memorial Basketball Hall of Famer]
-
A.
nameHonors
Indicates that a name is given to honor, commemorate, or pay tribute to a particular entity.
-
B.
honors
Indicates that one entity shows respect, recognition, or esteem toward another entity, often in a formal or ceremonial way.
-
C.
hasHonorees
Indicates that one entity is recognized or celebrated by listing another entity or entities as its honorees.
-
D.
namedAlumnus
chosen
Indicates that an entity is explicitly identified or designated as an alumnus of another entity (such as an institution or organization).
-
E.
honoraryDistinction
Indicates that an entity has received a special honor, title, or distinction in recognition of merit, without necessarily conferring the usual formal status or responsibilities.
- F. None of above.
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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c43e86c8190aaa8369455a02a52 |
completed | June 26, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.