Triple
T2350811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakfast on Pluto |
E47442
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Tony Lawson |
E147713
|
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: Tony Lawson | Statement: [Breakfast on Pluto, editedBy, Tony Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Lawson Context triple: [Breakfast on Pluto, editedBy, Tony Lawson]
-
A.
Tony Lawson
chosen
Tony Lawson is a film editor known for his work on major motion pictures, including the drama "The Brave One."
-
B.
Andrew Lawson
Andrew Lawson was a pioneering early 20th-century geologist best known for his foundational work on California’s geology and seismic activity, including identifying the San Andreas Fault.
-
C.
Charles Lawson
Charles Lawson is a botanist noted for his taxonomic work that formally described the Ponderosa pine.
-
D.
Victor Lawson
Victor Lawson was a prominent American newspaper publisher and owner of the Chicago Daily News in the late 19th and early 20th centuries.
-
E.
Damien P. George
Damien P. George is a British physicist and software engineer best known for creating MicroPython, a lean implementation of Python for microcontrollers and embedded systems.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6cfffc88190b49433f52581420e |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae962f769881909a7713880eaa9b84 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:54 p.m.