Triple
T14195972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Schwartzman |
E351834
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Eureka |
E365062
|
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: Eureka | Statement: [Robert Schwartzman, notableWork, Eureka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eureka Context triple: [Robert Schwartzman, notableWork, Eureka]
-
A.
Eureka
Eureka is a historic side-wheel paddle steamboat and former ferry now preserved as a museum ship in San Francisco.
-
B.
Eureka
Eureka is a science fiction television series that follows the quirky residents of a secret high-tech town where brilliant scientists’ experiments frequently go awry.
-
C.
Eureka
chosen
Eureka is an experimental rock and avant-garde album by American musician and producer Jim O'Rourke, noted for its intricate arrangements and genre-blending sound.
-
D.
Eureka
Eureka is a small, remote research and weather station in the Canadian High Arctic, known as one of the northernmost permanently inhabited places in the world.
-
E.
Eureka
Eureka is a historic mining town in eastern Nevada known for its well-preserved 19th-century architecture and role in the region’s silver boom.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd194b32d88190aa74eef576152db3 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:04 a.m.