Triple
T6654002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Farmer’s Daughter |
E150894
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Harry Marker |
E456156
|
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: Harry Marker | Statement: [The Farmer’s Daughter, editedBy, Harry Marker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Marker Context triple: [The Farmer’s Daughter, editedBy, Harry Marker]
-
A.
Harry Marker
chosen
Harry Marker was a film editor best known for his work on classic Hollywood productions such as "The Bells of St. Mary's."
-
B.
Alvin Marks
Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
-
C.
Fritz Lanman
Fritz Lanman is an American technology executive and investor known for his leadership roles at companies like ClassPass and his early investment in and involvement with startups such as Square.
-
D.
Elmer Wachtel
Elmer Wachtel was an American landscape painter associated with early 20th-century California Impressionism.
-
E.
Walter Marks
Walter Marks is a notable individual recognized for his contributions in his professional field, which have made his name significant enough to be distinctly recorded.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b047eb688190bca86be98ac25e39 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eefd800c8190806cf3dff204ca01 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.