Triple
T4198117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 6 Underground |
E86001
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Adria Arjona |
E77661
|
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: Adria Arjona | Statement: [6 Underground, starring, Adria Arjona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adria Arjona Context triple: [6 Underground, starring, Adria Arjona]
-
A.
Adria Arjona
chosen
Adria Arjona is a Puerto Rican–Guatemalan actress known for her roles in films like "Pacific Rim: Uprising" and "Morbius" and TV series such as "Good Omens" and "Andor."
-
B.
Andrea Guerra
Andrea Guerra is an Italian composer best known for his film scores, including his work on major international productions.
-
C.
Silvia Navarro
Silvia Navarro is a Mexican actress best known for her leading roles in popular telenovelas and television dramas.
-
D.
Ivana Baquero
Ivana Baquero is a Spanish actress best known for her acclaimed performance as the young protagonist in Guillermo del Toro’s dark fantasy film "Pan’s Labyrinth."
-
E.
Tatiana Toro
Tatiana Toro is a Colombian-American mathematician renowned for her contributions to geometric measure theory and partial differential equations, and for her leadership in the mathematical community.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0360bc8081908ceb2483eef89174 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a12c11481908033229ecf90c9f9 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:48 p.m.