Triple
T12366409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bebel Gilberto |
E294879
|
entity |
| Predicate | hasDiscographyItem |
P1995
|
FINISHED |
| Object | Agora |
E762903
|
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: Agora | Statement: [Bebel Gilberto, hasDiscographyItem, Agora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agora Context triple: [Bebel Gilberto, hasDiscographyItem, Agora]
-
A.
Agora
Agora is the industry-focused market and networking hub of the Thessaloniki International Film Festival, dedicated to supporting film professionals and promoting new projects.
-
B.
Agora
chosen
Agora is a 2009 historical drama film set in Roman Egypt that explores religious conflict and the life of philosopher Hypatia.
-
C.
Agoro
Agoro is a character featured as a component of the work "Necessary Evil."
-
D.
Agora Industry
Agora Industry is the Thessaloniki International Film Festival’s professional industry platform, dedicated to supporting film development, production, and networking among filmmakers and audiovisual professionals.
-
E.
Ágora
Ágora is a striking, futuristic multi-purpose event and exhibition space in Valencia, Spain, designed by Santiago Calatrava as part of the City of Arts and Sciences complex.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa502988190ba170dee90d9f394 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63473efd481909b2061f3b19e1aaf |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.