Triple
T5898625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Antonio Bayona |
E131163
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | ESCAC |
E394570
|
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: ESCAC | Statement: [Juan Antonio Bayona, educatedAt, ESCAC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESCAC Context triple: [Juan Antonio Bayona, educatedAt, ESCAC]
-
A.
ESCAC
chosen
ESCAC is a renowned Spanish film and audiovisual school known for training directors, screenwriters, and other cinema professionals.
-
B.
ECASA
ECASA is a Cuban state-owned company responsible for managing and operating the country’s civil airports and air terminals.
-
C.
ECCAS
ECCAS (Economic Community of Central African States) is a regional economic community that promotes economic integration, peace, and development among Central African countries.
-
D.
ESC
ESC is the commonly used abbreviation for the European Social Charter, a Council of Europe treaty that safeguards social and economic human rights.
-
E.
ESC
ESC is the abbreviated name of the Energy Systems Committee, a group focused on issues related to energy systems.
- 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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f7b3f48190a499d43f8ffb2fa7 |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b15df86481908b59717b9de63655 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.