Triple
T9015751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Thief |
E215588
|
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: [The Good Thief, editedBy, Tony Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Lawson Context triple: [The Good Thief, 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.
Duncan Kennedy
Duncan Kennedy is a screenwriter best known for co-writing the 1999 science fiction horror film "Deep Blue Sea."
-
D.
Stephen Law
Stephen Law is a British philosopher and author known for his work in philosophy of religion, skepticism, and public debates on the rationality of theism.
-
E.
Sam Lawson
Sam Lawson is a fictional New England storyteller created by Harriet Beecher Stowe, known for his humorous, dialect-rich tales in "Oldtown Fireside Stories."
- 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_69ca83a38aa88190bf1bb80c4548b5e2 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69fc0e4c819080b60456375f94cd |
completed | April 1, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdba8bd8c81909860d561d9d16611 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:06 p.m.