Triple
T11467813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Spitz |
E271821
|
entity |
| Predicate | father |
P120
|
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: [Matthew Spitz, father, Mark Spitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Spitz Context triple: [Matthew Spitz, father, 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.
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.
-
D.
Rob Dressel
Rob Dressel is a cinematographer best known for his work on the animated film "Big Hero 6."
-
E.
Tommy Smith
Tommy Smith was an early 20th-century Canadian ice hockey forward known for his prolific goal scoring in professional leagues such as the NHA and NHL.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6248d0db881909999049356f53ff6 |
completed | April 20, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:35 p.m.