Triple
T23523787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Centrowitz Jr. |
E574578
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Centrowitz |
—
|
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: Centrowitz | Statement: [Matthew Centrowitz Jr., familyName, Centrowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Centrowitz Context triple: [Matthew Centrowitz Jr., familyName, Centrowitz]
-
A.
Matthew Centrowitz Jr.
chosen
Matthew Centrowitz Jr. is an American middle-distance runner best known for winning the gold medal in the 1500 meters at the 2016 Rio Olympics.
-
B.
Jared Tallent
Jared Tallent is an Australian race walker and Olympic champion best known for winning multiple Olympic and World Championship medals in the 20 km and 50 km walk events.
-
C.
Conor Dwyer
Conor Dwyer is an American former competitive swimmer and Olympic gold medalist known for his success in middle-distance freestyle events.
-
D.
Chase Kalisz
Chase Kalisz is an American medley specialist and Olympic champion swimmer known for excelling in the 200m and 400m individual medley events.
-
E.
Biles
Biles is a surname most prominently associated with American gymnast Simone Biles and her family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac71ec8881909bfb706efdc2518f |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.