Triple
T10717428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You Lost Me |
E252713
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Samuel Dixon |
E252710
|
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: Samuel Dixon | Statement: [You Lost Me, producer, Samuel Dixon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Dixon Context triple: [You Lost Me, producer, Samuel Dixon]
-
A.
Samuel Dixon
chosen
Samuel Dixon is a British songwriter, record producer, and bassist known for his work with artists such as Adele, Sia, and Christina Aguilera.
-
B.
Malcolm Dixon
Malcolm Dixon was a British actor and dwarf performer best known for his roles in fantasy and science-fiction films of the late 20th century.
-
C.
James Dixon
James Dixon is a television producer best known for his long-time collaboration with Jon Stewart on shows like The Daily Show and The Problem with Jon Stewart.
-
D.
James Dixon
James Dixon is a screenwriter known for co-writing the 1987 horror film "A Return to Salem's Lot," a sequel to Stephen King's "Salem's Lot."
-
E.
William Goodrum
William Goodrum is a composer and musician known for contributing to the soundtrack of the comedy film "Shallow Hal."
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6ff3566e88190b5c0c6d1b159dd45 |
completed | April 9, 2026, 1:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbd9df306881908aef5c6e8b4e78dc |
completed | April 12, 2026, 5:43 p.m. |
Created at: April 8, 2026, 9:13 p.m.