Triple
T9907460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Month by the Lake |
E185047
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Peter Tanner |
E787144
|
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: Peter Tanner | Statement: [A Month by the Lake, editor, Peter Tanner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Tanner Context triple: [A Month by the Lake, editor, Peter Tanner]
-
A.
Peter Tanner
chosen
Peter Tanner was a British film editor known for his work on numerous feature films, including the Vietnam War drama "Hamburger Hill."
-
B.
John Todd
John Todd was a British mathematician known for his work in numerical analysis and for helping to establish the field of computational mathematics.
-
C.
John Todd
John Todd is a prominent member of the Todd family, recognized for his significant role and influence within this historically notable lineage.
-
D.
Peter Dobson
Peter Dobson is an American actor known for his work in film and television, particularly in character roles during the 1990s.
-
E.
Peter Howard
Peter Howard was a prominent American musical theatre orchestrator and dance music arranger known for his work on numerous Broadway productions.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50ec61481908f42bd2aa55d9a6e |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d228a405908190ad63ebd659779ed7 |
completed | April 5, 2026, 9:17 a.m. |
Created at: March 30, 2026, 8:41 p.m.