Triple
T10295695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parley Baer |
E241480
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Parley Baer |
E241480
|
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: Parley Baer | Statement: [Parley Baer, name, Parley Baer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parley Baer Context triple: [Parley Baer, name, Parley Baer]
-
A.
Parley Baer
chosen
Parley Baer was an American character actor known for his extensive work in radio, television, and film from the mid-20th century onward.
-
B.
Henry Baerer
Henry Baerer was a German-American sculptor known for creating notable public monuments and statues in the United States during the late 19th century.
-
C.
Seymour Beard
Seymour Beard was the husband of British actress Edna Best, known primarily in relation to her life and career.
-
D.
Ralph Berkowitz
Ralph Berkowitz was an American pianist, accompanist, and arts administrator known for his influential work in classical music performance and education.
-
E.
Eugene Schiff
Eugene Schiff was an American physician and hepatologist renowned for his pioneering contributions to the study and treatment of liver diseases.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2ea9b3c8190b11518b259d5825c |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d23f49081909aea149c6b219354 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:43 a.m.