Triple
T13403021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Czyzewski |
E319879
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | "Greyhound" |
E1008450
|
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: "Greyhound" | Statement: [Mark Czyzewski, workedOn, "Greyhound"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Greyhound" Context triple: [Mark Czyzewski, workedOn, "Greyhound"]
-
A.
film Greyhound
chosen
Greyhound is a World War II naval drama film starring Tom Hanks as a U.S. Navy commander leading an Allied convoy across the Atlantic while being pursued by German U-boats.
-
B.
Ace the Greyhound
Ace the Greyhound is the costumed canine mascot representing the University of Indianapolis at its athletic events and campus activities.
-
C.
Red Dog
Red Dog is a 2011 Australian comedy-drama film based on the true story of a wandering kelpie that unites a remote mining community in Western Australia.
-
D.
Red Dog
"Red Dog" is a short story by Rudyard Kipling featuring Mowgli’s perilous battle against a deadly pack of dholes in the Indian jungle.
-
E.
Wildmutt
Wildmutt is a feral, dog-like alien from the Ben 10 franchise known for his powerful physical abilities and heightened senses despite being blind.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4982e0819087a9fcb2fa88541f |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73076a7ac8190bd7898edff7d90e8 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.