Triple
T20585839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Fields |
E505783
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Joseph Fields |
—
|
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: Joseph Fields | Statement: [Herbert Fields, relative, Joseph Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph Fields Context triple: [Herbert Fields, relative, Joseph Fields]
-
A.
Joseph Fields
chosen
Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
-
B.
Ron Field
Ron Field was an American choreographer and director best known for his innovative work on Broadway musicals in the mid-20th century.
-
C.
J. C. Fields
J. C. Fields was a Canadian mathematician best known for founding the Fields Medal, one of the most prestigious awards in mathematics.
-
D.
Charles Fields
Charles Fields was an individual significant enough in Oregon’s history or local community that a place there was named in his honor.
-
E.
Jack Fields
Jack Fields was the first husband of American actress and television producer Whitney Blake.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a976bca4819086a4949e299159b5 |
completed | April 20, 2026, 10:32 p.m. |
Created at: April 16, 2026, 11:40 a.m.