Triple
T13603345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skin (2018 film) |
E324996
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Dan Romer |
E197167
|
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: Dan Romer | Statement: [Skin (2018 film), musicBy, Dan Romer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Romer Context triple: [Skin (2018 film), musicBy, Dan Romer]
-
A.
Dan Romer
chosen
Dan Romer is an American composer, songwriter, and music producer known for his evocative film scores and collaborations on acclaimed independent films and television series.
-
B.
Al Bennett
Al Bennett was an American music industry executive best known as the founder and longtime leader of the influential record label Liberty Records.
-
C.
Dave Trager
Dave Trager was a sports executive best known for owning the early NBA franchise that became the Chicago Packers.
-
D.
Roger Berlind
Roger Berlind was a prominent American theatrical producer and financier known for backing numerous successful Broadway plays and musicals.
-
E.
Don Brautigam
Don Brautigam was an American illustrator best known for his striking, realistic cover art for horror and thriller novels, including works by Stephen King.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ca07481909c45da551ea61ab4 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f93ec588190993baec788d22670 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.