Triple
T11328476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Coyote |
E268283
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cross Creek |
E545793
|
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: Cross Creek | Statement: [Peter Coyote, notableWork, Cross Creek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cross Creek Context triple: [Peter Coyote, notableWork, Cross Creek]
-
A.
Cross Creek
chosen
Cross Creek is a 1983 biographical drama film about author Marjorie Kinnan Rawlings’s life in rural Florida, adapted from her memoir of the same name.
-
B.
Richland Creek
Richland Creek is a waterway in southern Tennessee that flows through the city of Pulaski and the surrounding Giles County region.
-
C.
Richland Creek
Richland Creek is a stream in southwestern Illinois that flows through the city of Belleville and is part of the local Mississippi River watershed.
-
D.
Crooked Creek
Crooked Creek is a stream in western Pennsylvania known for flowing through Armstrong County and contributing to the region’s river system and outdoor recreation.
-
E.
Hunting Creek
Hunting Creek is a smaller stream in North Carolina that feeds into the Yadkin River as one of its tributaries.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2818ec8190ae926a0ffdeb7bb7 |
completed | May 9, 2026, 3 p.m. |
Created at: April 8, 2026, 9:32 p.m.