Triple
T16229511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flashdance |
E393941
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Bud S. Smith |
E502127
|
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: Bud S. Smith | Statement: [Flashdance, editedBy, Bud S. Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bud S. Smith Context triple: [Flashdance, editedBy, Bud S. Smith]
-
A.
Bud S. Smith
chosen
Bud S. Smith is an American film editor best known for his work on influential films such as "The Exorcist" and "Sorcerer."
-
B.
Burrell Smith
Burrell Smith is an American hardware engineer best known for designing the original Macintosh computer’s digital board as part of Apple’s pioneering Macintosh team in the early 1980s.
-
C.
Frank L. Smith
Frank L. Smith was an American politician and businessman from Illinois who served in the U.S. House of Representatives in the early 20th century.
-
D.
Paul L. Smith
Paul L. Smith was an American character actor known for his imposing build and villainous roles in films such as "Popeye," "Midnight Express," and "Dune."
-
E.
Jerry Smith
Jerry Smith is an American soccer coach best known for his long tenure leading the Santa Clara University women's soccer program.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2889688190ac04e4e9479cabf4 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00079e83f08190a260751fd8b55eef |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.