Triple
T15389281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Very Good Girls |
E367996
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Bobby Bukowski |
E1110004
|
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: Bobby Bukowski | Statement: [Very Good Girls, cinematographer, Bobby Bukowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Bukowski Context triple: [Very Good Girls, cinematographer, Bobby Bukowski]
-
A.
Bobby Bukowski
chosen
Bobby Bukowski is an American cinematographer known for his work on independent and socially conscious films, including the drama "99 Homes."
-
B.
Bobby Draper
Bobby Draper is one of Don and Betty Draper’s children on the television series "Mad Men," representing the changing experiences of American youth during the 1960s.
-
C.
Elmore Brooks
Elmore Brooks, better known as Elmore James, was an influential American blues guitarist, singer, and songwriter celebrated as the "King of the Slide Guitar."
-
D.
Joe B. Brown
Joe B. Brown was the Texas judge best known for presiding over the high-profile trial of Jack Ruby, the man who killed Lee Harvey Oswald.
-
E.
Bryan Unkeless
Bryan Unkeless is a film producer known for working on acclaimed movies such as "I, Tonya" and other high-profile Hollywood projects.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e761b688190893a81246b735b76 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff134e37d881909f373b90a99fc067 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.