Triple
T14658647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Bamba |
E344176
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | La Bamba |
E344176
|
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: La Bamba | Statement: [La Bamba, featuresSong, La Bamba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Bamba Context triple: [La Bamba, featuresSong, La Bamba]
-
A.
La Bamba
chosen
"La Bamba" is a 1987 rock and roll biographical film about musician Ritchie Valens, featuring a hit title song cover by Los Lobos.
-
B.
Bada Bing
Bada Bing is a fictional New Jersey strip club and key hangout for Tony Soprano’s crime family in the television series "The Sopranos."
-
C.
Bumba Da
Bumba Da is the popular nickname of Prosenjit Chatterjee, a leading Bengali film actor and one of the most influential stars in contemporary Bengali cinema.
-
D.
Baba Wawa
Baba Wawa is a famous comedic persona created by Gilda Radner on Saturday Night Live, parodying television journalist Barbara Walters with exaggerated speech and mannerisms.
-
E.
La Nena
"La Nena" is a song featured on the album "Quizás" by Spanish singer-songwriter Enrique Iglesias.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde175db5881908f88d2b3fd72bb52 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.