Triple
T15435526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Molitor |
E369750
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Molitor |
E369750
|
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: Molitor | Statement: [Paul Molitor, familyName, Molitor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molitor Context triple: [Paul Molitor, familyName, Molitor]
-
A.
Molitor
chosen
Molitor is a surname most notably associated with Paul Molitor, a Hall of Fame Major League Baseball player and manager.
-
B.
Tetsuharu
Tetsuharu is a Japanese given name most famously associated with Tetsuharu Kawakami, a legendary professional baseball player and manager in Japan.
-
C.
Shohei
Shohei is a Japanese given name most prominently associated with baseball star Shohei Ohtani.
-
D.
Matsui
Matsui is a Japanese surname borne by various notable figures in fields such as politics, sports, and the military.
-
E.
Tatsunori Hara
Tatsunori Hara is a prominent Japanese baseball manager and former Yomiuri Giants star known for leading both his club and Japan’s national team to multiple championships.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a5e55c81909801db54032589ac |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:21 a.m.