Triple
T18685785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Calichman |
E456857
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object | Toshiba SC |
—
|
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: Toshiba SC | Statement: [Dan Calichman, memberOfSportsTeam, Toshiba SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toshiba SC Context triple: [Dan Calichman, memberOfSportsTeam, Toshiba SC]
-
A.
Toshiba Horikawa SC
chosen
Toshiba Horikawa SC was a Japanese football club that later evolved into the professional J.League team Hokkaido Consadole Sapporo.
-
B.
Toshiba MG Series
Toshiba MG Series is a line of enterprise-grade hard disk drives designed for high-capacity, reliable storage in data center and server environments.
-
C.
Maxtor Tower
Maxtor Tower is a historic defensive tower that forms part of the medieval fortifications of Nuremberg, Germany.
-
D.
Toshiba P300
The Toshiba P300 is a line of internal 3.5-inch hard disk drives designed for desktop PCs, offering high-capacity storage with a focus on reliability and everyday performance.
-
E.
Toshiba
Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55b2c58188190b906c9ab080a76ff |
completed | April 19, 2026, 10:46 p.m. |
Created at: April 10, 2026, 11:49 a.m.