Triple
T22962024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intruders |
E570926
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Jaime Marques |
—
|
NE NERFINISHED |
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: Jaime Marques | Statement: [Intruders, screenwriter, Jaime Marques]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaime Marques Context triple: [Intruders, screenwriter, Jaime Marques]
-
A.
Jaime Marques
chosen
Jaime Marques is a Spanish screenwriter known for his work on the survival drama film "Society of the Snow."
-
B.
Jaime Penedo
Jaime Penedo is a retired Panamanian goalkeeper best known for his long international career with Panama and his club stints in Major League Soccer and Europe.
-
C.
Jaime Gomez
Jaime Gomez is an American actor best known for his supporting roles in films and television series, including the submarine thriller "Crimson Tide."
-
D.
Ricardo Almeida
Ricardo Almeida is a retired Brazilian mixed martial artist and Brazilian jiu-jitsu black belt known for his successful career in the UFC and as a respected grappling coach.
-
E.
Jaime Laredo
Jaime Laredo is a Bolivian-American violinist and conductor renowned for his distinguished solo, chamber music, and orchestral career.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f594fc8190816418486b798198 |
completed | April 29, 2026, 3:58 a.m. |
Created at: April 17, 2026, 3:47 p.m.