Triple
T14691351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army of the Dead |
E345041
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Raúl Castillo |
E555632
|
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: Raúl Castillo | Statement: [Army of the Dead, stars, Raúl Castillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raúl Castillo Context triple: [Army of the Dead, stars, Raúl Castillo]
-
A.
Raúl Castillo
chosen
Raúl Castillo is an American actor and playwright best known for his roles in the HBO series "Looking" and various independent films and television dramas.
-
B.
Nestor Carbonell
Nestor Carbonell is an American actor best known for his roles in the television series "Lost" and "Bates Motel," as well as numerous film and voice-acting appearances.
-
C.
Alejandro Bichir
Alejandro Bichir is a Mexican actor and member of the prominent Bichir acting family.
-
D.
Oscar de León
Oscar de León is the nerdy, sci-fi-obsessed Dominican-American protagonist of Junot Díaz’s novel "The Brief Wondrous Life of Oscar Wao," whose tragic life explores themes of identity, diaspora, and generational trauma.
-
E.
Miguel Ángel Ramírez
Miguel Ángel Ramírez is a Spanish football manager known for his tactical work in South American and Major League Soccer clubs.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb585d46c81908d6964130914cec4 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a181708190816c391f6a5d06f0 |
completed | May 8, 2026, 11:32 p.m. |
Created at: April 10, 2026, 1:28 a.m.