Triple
T29996014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry A. Gampel |
E762024
|
entity |
| Predicate | hasPavilionNamedAfter |
P49744
|
FINISHED |
| Object | Harry A. Gampel Pavilion |
—
|
NE NERFINISHED |
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: Harry A. Gampel Pavilion | Statement: [Harry A. Gampel, hasPavilionNamedAfter, Harry A. Gampel Pavilion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPavilionNamedAfter Context triple: [Harry A. Gampel, hasPavilionNamedAfter, Harry A. Gampel Pavilion]
-
A.
hasBuildingNamedAfterHim
chosen
Indicates that a person has a building that is named in their honor.
-
B.
hasPavilion
Indicates that one entity possesses, includes, or is associated with a pavilion as part of its structure, property, or facilities.
-
C.
hasParkNamedAfter
Indicates that one entity has a park that is named in honor of, or after, another entity.
-
D.
architectIsNotableFor
Indicates that an architect is recognized or distinguished for a particular work, contribution, or achievement.
-
E.
hasHeritageSiteNamedAfter
Indicates that one entity has a heritage site that is named after another entity.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 29, 2026, 6:40 p.m.