Triple
T15546954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suzy Weiner |
E370633
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mark Spitz |
E52546
|
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: Mark Spitz | Statement: [Suzy Weiner, spouse, Mark Spitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Spitz Context triple: [Suzy Weiner, spouse, Mark Spitz]
-
A.
Mark Spitz
chosen
Mark Spitz is an American former competitive swimmer who became legendary for winning seven gold medals at the 1972 Munich Olympics, a record at the time.
-
B.
Michael Phelps
Michael Phelps is an American swimmer widely regarded as the most decorated Olympian of all time, known for his record-breaking medal haul and dominance in multiple Olympic Games.
-
C.
Janet Evans
Janet Evans is a legendary American swimmer and four-time Olympic gold medalist renowned for her dominance in distance freestyle events in the late 1980s and early 1990s.
-
D.
Reinhardt Schwimmer
Reinhardt Schwimmer was an optometrist and mob associate who was among the seven men murdered in Chicago’s infamous 1929 Saint Valentine’s Day Massacre.
-
E.
Rob Dressel
Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455c172c8190833274cb98667e84 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:08 a.m.