Triple
T16229530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flashdance |
E393941
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Philip Bruns |
E287230
|
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: Philip Bruns | Statement: [Flashdance, castMember, Philip Bruns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Bruns Context triple: [Flashdance, castMember, Philip Bruns]
-
A.
Philip Bruns
chosen
Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
-
B.
Philip Brownstein
Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
-
C.
Philip Voss
Philip Voss was a British actor known for his extensive work in theatre, television, and radio, including roles with the Royal Shakespeare Company and appearances in popular UK dramas.
-
D.
Alan Judd
Alan Judd is a British author and former diplomat known for his acclaimed spy and military novels, including the book that inspired the film "The Exception."
-
E.
Richard Gehman
Richard Gehman was an American journalist and prolific magazine and nonfiction writer active in the mid-20th century.
- 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_6a0084a88dc08190a78973bc71f179d4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:03 a.m.