Triple
T14627826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óscar Pareja |
E343398
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Óscar |
E359307
|
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: Óscar | Statement: [Óscar Pareja, givenName, Óscar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Óscar Context triple: [Óscar Pareja, givenName, Óscar]
-
A.
Oscar
The Oscar is a prestigious film industry award presented annually by the Academy of Motion Picture Arts and Sciences to honor outstanding cinematic achievements.
-
B.
Oscar
Oscar is the Allied reporting name for the Nakajima Ki-43, a Japanese World War II fighter aircraft used extensively by the Imperial Japanese Army Air Service.
-
C.
Oscar
chosen
Oscar is a masculine given name of Old English and Norse origin, commonly used in many European and English-speaking countries.
-
D.
Oscar
Oscar is the NATO reporting name for a class of large, nuclear-powered guided-missile submarines originally built by the Soviet Navy and now operated by the Russian Navy.
-
E.
Óscar Dancigers
Óscar Dancigers was a Russian-born French-Mexican film producer best known for his collaborations with director Luis Buñuel during Mexico’s Golden Age of cinema.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92c25ac8190ba931c009e7ace19 |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.