Triple
T4435111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Train to Paris |
E95629
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Alex da Kid |
E249532
|
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: Alex da Kid | Statement: [Last Train to Paris, producer, Alex da Kid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex da Kid Context triple: [Last Train to Paris, producer, Alex da Kid]
-
A.
Alex da Kid
chosen
Alex da Kid is a British record producer and songwriter known for crafting genre-blending pop and hip-hop hits for major artists.
-
B.
Alex
Alex is a common given name, typically used as a shortened form of Alexander or Alexandra.
-
C.
X-Kid
X-Kid is a song by American punk rock band Green Day from their 2012 album ¡Tré!.
-
D.
Xandre
Xandre is a shortened, informal given name derived from Alexandre, commonly used as a nickname or variant.
-
E.
Kiddo
Kiddo is a music producer known for working on the track "Elevation."
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61377180c8190898300fe0cd77433 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.