Triple
T6403709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hold My Liquor |
E144123
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dom Solo |
E590395
|
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: Dom Solo | Statement: [Hold My Liquor, producer, Dom Solo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dom Solo Context triple: [Hold My Liquor, producer, Dom Solo]
-
A.
Dom Solo
chosen
Dom Solo is a songwriter best known for co-writing the track "Hold My Liquor."
-
B.
Han Solo
Han Solo is a charismatic, roguish smuggler-turned-hero from the Star Wars franchise, known for piloting the Millennium Falcon and playing a key role in the Rebel Alliance.
-
C.
Dryden Vos
Dryden Vos is a high-ranking, sadistic crime boss of the Crimson Dawn syndicate in the Star Wars universe, notably appearing in "Solo: A Star Wars Story."
-
D.
Tobias Beckett
Tobias Beckett is a seasoned criminal and mentor figure in the Star Wars universe who guides a young Han Solo into the world of smuggling and heists.
-
E.
Lazlo Biggs
Lazlo Biggs is the child of American actor Jason Biggs.
- 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_69c008dc56fc81908d43ffcc11d73bdd |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c068af3f448190a94ecd5109e9e8e4 |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640bee09481908bdd0462f7cc43ff |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:35 p.m.