Triple
T17252563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dane Clark |
E418791
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Deep Valley |
E184644
|
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: Deep Valley | Statement: [Dane Clark, notableWork, Deep Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deep Valley Context triple: [Dane Clark, notableWork, Deep Valley]
-
A.
Deep Valley
chosen
Deep Valley is a 1947 American drama film in which Anne Revere delivered one of her notable screen performances.
-
B.
Perkiomen Valley
Perkiomen Valley is a region in southeastern Pennsylvania characterized by its rolling landscapes, suburban communities, and the Perkiomen Creek running through it.
-
C.
Soar Valley
Soar Valley is a low-lying river valley in Leicestershire, England, characterized by its flat, fertile floodplain landscapes along the River Soar.
-
D.
Delphi Valley
Delphi Valley is a scenic glacial valley in County Mayo, Ireland, known for its dramatic mountain scenery, lakes, and outdoor activities such as hiking and fishing.
-
E.
Pleasant Valley
Pleasant Valley is a 1945 nonfiction book by Louis Bromfield in which he reflects on rural life, agriculture, and conservation on his Ohio farm.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6a1b648190a8bb2deb67bbdfdc |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fb89248190ae431ce51dfeaffd |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.