Triple
T10361099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Bill |
E244133
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | Come Blow Your Horn |
E242034
|
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: Come Blow Your Horn | Statement: [Tony Bill, actedIn, Come Blow Your Horn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Come Blow Your Horn Context triple: [Tony Bill, actedIn, Come Blow Your Horn]
-
A.
Come Blow Your Horn
chosen
Come Blow Your Horn is a 1963 American comedy film adaptation of Neil Simon’s play, starring Frank Sinatra and directed by Bud Yorkin.
-
B.
Young Man with a Horn
Young Man with a Horn is a 1950 film noir–style musical drama about a troubled jazz trumpeter, loosely based on the life of cornetist Bix Beiderbecke.
-
C.
Blowing Away
"Blowing Away" is a song featured on the album "Living in the USA" by Linda Ronstadt.
-
D.
Let's Get Blown
"Let's Get Blown" is a smooth, laid-back hip hop single by Snoop Dogg featuring Pharrell, known for its mellow G-funk production and catchy hook.
-
E.
Strike Up the Band
"Strike Up the Band" is a 1940 MGM musical film starring Judy Garland and Mickey Rooney, known for its lively song-and-dance numbers and classic big-band era style.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96209548190957368ee8c6a9ec3 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7953205cc8190ad7f28a7436049bc |
completed | April 9, 2026, 12:01 p.m. |
Created at: April 6, 2026, 11:59 a.m.