Triple
T7745402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phelps Center |
E175615
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Phelps (namesake) |
E82986
|
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: Phelps (namesake) | Statement: [Phelps Center, namedAfter, Phelps (namesake)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phelps (namesake) Context triple: [Phelps Center, namedAfter, Phelps (namesake)]
-
A.
Phelps
chosen
Phelps is a surname that may refer to various individuals, including fictional characters such as Aunt Polly from classic literature.
-
B.
Phips
Phips is a surname most notably associated with Sir William Phips, the first royally appointed governor of the Province of Massachusetts Bay in the late 17th century.
-
C.
Phelps Health
Phelps Health is a regional healthcare system and hospital based in Rolla, Missouri, providing medical services to communities in south-central Missouri.
-
D.
James Phelps
James Phelps is an English actor best known for playing Fred Weasley in the Harry Potter film series.
-
E.
Michael Phelps Foundation
The Michael Phelps Foundation is a charitable organization that promotes water safety, healthy living, and the sport of swimming, particularly for children and underserved communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70389e9548190a57b5370f4b9fee9 |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be4cdb148190af3ebaf9ac35b641 |
completed | March 29, 2026, 5:53 a.m. |
Created at: March 27, 2026, 4:07 p.m.