Triple
T15416532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Lay |
E369252
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | El Lay |
E369252
|
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: El Lay | Statement: [El Lay, hasTitle, El Lay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Lay Context triple: [El Lay, hasTitle, El Lay]
-
A.
El Lay
chosen
El Lay is a track by Snoop Dogg that reflects his West Coast hip hop style and pays homage to Los Angeles culture.
-
B.
Lojay
Lojay is a Nigerian singer and songwriter known for his Afro-fusion sound and hit collaborations in contemporary Afrobeats.
-
C.
Vaina Loca
"Vaina Loca" is a popular Latin urban song best known in its hit version by Ozuna and Manuel Turizo, blending reggaeton and romantic lyrics.
-
D.
La Sele
La Sele is the popular nickname for Costa Rica’s national football team, known for its passionate fan base and memorable World Cup performances.
-
E.
El Loco
El Loco is the famous nickname of Argentine football manager Marcelo Bielsa, known for his intense, unorthodox tactics and obsessive attention to detail.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7722a08190af230ecafda30b18 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.