Triple
T5070529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stop Drop and Roll!!! |
E114265
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sally |
unclear NED1
|
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: Sally | Statement: [Stop Drop and Roll!!!, hasPart, Sally]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sally Context triple: [Stop Drop and Roll!!!, hasPart, Sally]
-
A.
Sally
Sally is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine army bomber used extensively during World War II.
-
B.
Sally
Sally is the given name of Sally K. Ride, the American physicist and astronaut who became the first American woman in space.
-
C.
Sally
Sally is the rag-doll heroine of Tim Burton’s animated film "The Nightmare Before Christmas," known for her resourcefulness, independence, and unrequited love for Jack Skellington.
-
D.
Sara
Sara is a language spoken in parts of Central Africa, particularly in Chad.
-
E.
Sara
"Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74a0aa048190ba01281f1b160609 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea4a348e081909ccba9ce469c722c |
completed | March 21, 2026, 2:01 p.m. |
Created at: March 20, 2026, 1:39 p.m.