Triple
T22889976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Butler |
E567709
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Herbert 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: Herbert Fields | Statement: [Frank Butler, createdBy, Herbert Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herbert Fields Context triple: [Frank Butler, createdBy, Herbert Fields]
-
A.
Herbert Fields
chosen
Herbert Fields was an American librettist and playwright best known for writing the books for numerous successful Broadway musicals in the early to mid-20th century.
-
B.
Joseph Fields
Joseph Fields was an American playwright, screenwriter, and producer known for his work on Broadway and in Hollywood during the mid-20th century.
-
C.
Edward Garfield
Edward Garfield was the son of U.S. President James A. Garfield and First Lady Lucretia Rudolph Garfield, who died in infancy.
-
D.
Robert Fields
Robert Fields is an American actor best known for his role in the 1969 film "They Shoot Horses, Don't They?"
-
E.
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.
- 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_69e2458a92ec81908fc1cd5f6407d2ab |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17fc479d48190a8218eceaebd6cc8 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.