Triple
T5595102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outside |
E146976
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Outside |
E146976
|
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: Outside | Statement: [Outside, title, Outside]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outside Context triple: [Outside, title, Outside]
-
A.
Outside
chosen
"Outside" is a song by the band Butterfly, likely featured as one of the tracks on their music release.
-
B.
Field
Field is a large-scale installation artwork by Antony Gormley consisting of thousands of small, hand-formed clay figures densely arranged to transform and animate architectural space.
-
C.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
-
D.
The Great Outdoors
The Great Outdoors is a 1988 comedy film starring John Candy and Dan Aykroyd about a family vacation gone hilariously wrong at a lakeside resort.
-
E.
Beach
Beach is the long-suffering butler in P. G. Wodehouse’s Blandings Castle stories, known for his dignified composure amid the eccentric chaos of the castle’s inhabitants.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020be029881908c5586838382c8f2 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286eaa2881909cbb0bb20f4987fe |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.