Triple
T1159696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaume Plensa |
E24464
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Voices |
E131718
|
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: Voices | Statement: [Jaume Plensa, creatorOf, Voices]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Voices Context triple: [Jaume Plensa, creatorOf, Voices]
-
A.
Voices
chosen
Voices is a sculptural artwork by Spanish artist Jaume Plensa, known for his large-scale, contemplative installations that explore the human figure, language, and spirituality.
-
B.
Voices (album)
Voices is a 1995 studio album by Greek composer Vangelis that blends electronic, ambient, and world music elements with prominent vocal performances.
-
C.
The Voices
The Voices is a dark comedy horror film starring Ryan Reynolds as a disturbed factory worker who converses with his talking pets, blurring the line between delusion and reality.
-
D.
La voix
"La voix" is an operatic pop song performed by Swedish mezzo-soprano Malena Ernman as Sweden’s entry in the Eurovision Song Contest 2009.
-
E.
Whisper
Whisper is an open-source automatic speech recognition system by OpenAI that transcribes and translates spoken language with high accuracy across many languages.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcad47a08190895769611798f67f |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac667d2bdc8190b7d797683a4d3fe8 |
completed | March 7, 2026, 5:55 p.m. |
Created at: March 1, 2026, 7:45 p.m.