Triple
T22546670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tip |
E557446
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | the Sawhorse |
—
|
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: the Sawhorse | Statement: [Tip, associatedWith, the Sawhorse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Sawhorse Context triple: [Tip, associatedWith, the Sawhorse]
-
A.
Sawhorse
chosen
Sawhorse is a magically animated wooden horse from L. Frank Baum’s Oz series, serving as a loyal but stiff and speedy steed for characters like Tip and the Scarecrow.
-
B.
Sawteeth
Sawteeth is a rugged, serrated Adirondack mountain known for its distinctive ridgeline and scenic views, and is recognized as one of the Adirondack High Peaks.
-
C.
Corkscrew
Corkscrew is a steel roller coaster at Michigan’s Adventure known for its signature double-inversion corkscrew elements.
-
D.
Corkscrew
Corkscrew is a steel roller coaster at Valleyfair amusement park known for its inversions and classic looping design.
-
E.
The Wedge
The Wedge is a famous surf spot in Newport Beach, California, known for its powerful, shore-breaking waves that attract experienced bodyboarders and surfers.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.