Triple
T16164096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Irvin |
E392254
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shiner |
E501587
|
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: Shiner | Statement: [John Irvin, notableWork, Shiner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiner Context triple: [John Irvin, notableWork, Shiner]
-
A.
Shiner
chosen
Shiner is a film scored by Australian composer Paul Grabowsky, noted for its atmospheric and jazz-influenced soundtrack.
-
B.
Blanton
Blanton is a surname most notably associated with Ray Blanton, an American politician who served as governor of Tennessee in the 1970s.
-
C.
Seltz
Seltz is the principal city and administrative center of the Imperial City of Seltz.
-
D.
Sauzon
Sauzon is a picturesque coastal village and harbor town on Belle-Île-en-Mer in Brittany, France, known for its colorful waterfront and maritime charm.
-
E.
Widney
Widney is a surname most notably associated with Robert Maclay Widney, a prominent 19th-century American judge and one of the founders of the University of Southern California.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b69adc8190ba90d68acaaca509 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.