Triple
T10972749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billie Piper |
E259281
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Yerma |
E477206
|
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: Yerma | Statement: [Billie Piper, notableWork, Yerma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yerma Context triple: [Billie Piper, notableWork, Yerma]
-
A.
Yerma
chosen
Yerma is a tragic play by Spanish dramatist Federico García Lorca that explores themes of infertility, honor, and societal pressure in rural Spain.
-
B.
Soledad
"Soledad" is a reggaeton song by Puerto Rican artist Don Omar, known for its emotive lyrics and romantic, melancholic style.
-
C.
El Arreglito
El Arreglito is a song by Spanish composer Sebastián Iradier whose melody later became famous worldwide as the basis for the "Habanera" aria in Bizet’s opera Carmen.
-
D.
Camoteros
Camoteros is the popular nickname for the Mexican football club Puebla FC and its supporters.
-
E.
Gordita
"Gordita" is a reggaeton-influenced track by Colombian singer Shakira, featuring Puerto Rican rapper Residente of Calle 13, known for its playful lyrics and fusion of Latin and urban sounds.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7a0b3dc819084fbda3227caf5b5 |
completed | April 18, 2026, 1 a.m. |
Created at: April 8, 2026, 9:24 p.m.