Triple
T20080655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tree of Blood |
E499989
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Iván Aledo
Iván Aledo is a Spanish film editor known for his work on numerous feature films, including the drama "The Tree of Blood."
|
E1415951
|
NE FINISHED |
How this triple was built (4 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: Iván Aledo | Statement: [The Tree of Blood, editedBy, Iván Aledo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iván Aledo Context triple: [The Tree of Blood, editedBy, Iván Aledo]
-
A.
Ricardo Cano
Ricardo Cano is a Spanish former professional tennis player who competed on the international circuit during the 1970s and 1980s.
-
B.
Sergio Cano
Sergio Cano is an individual notable enough to be recognized as a prominent bearer of the surname Cano, though specific widely known achievements or roles are not clearly documented.
-
C.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
-
D.
Xavier Loyá
Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
-
E.
Javier Molinero
Javier Molinero is a Spanish professional tennis player who has competed primarily on the ATP Challenger and ITF Futures circuits.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Iván Aledo Triple: [The Tree of Blood, editedBy, Iván Aledo]
Generated description
Iván Aledo is a Spanish film editor known for his work on numerous feature films, including the drama "The Tree of Blood."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iván Aledo Target entity description: Iván Aledo is a Spanish film editor known for his work on numerous feature films, including the drama "The Tree of Blood."
-
A.
Ricardo Cano
Ricardo Cano is a Spanish former professional tennis player who competed on the international circuit during the 1970s and 1980s.
-
B.
Sergio Cano
Sergio Cano is an individual notable enough to be recognized as a prominent bearer of the surname Cano, though specific widely known achievements or roles are not clearly documented.
-
C.
Eduardo Arenas
Eduardo Arenas is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Arenas.
-
D.
Xavier Loyá
Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
-
E.
Javier Molinero
Javier Molinero is a Spanish professional tennis player who has competed primarily on the ATP Challenger and ITF Futures circuits.
- F. None of above. chosen
Provenance (5 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66557c19c8190b511857490bbd423 |
completed | April 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c655c7c8190b570b793935949dd |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d5360cc8190b5c3e2df33b6ef2b |
completed | May 16, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083dce8b8881908c26f6fe5ba8a8cc |
completed | May 16, 2026, 9:50 a.m. |
Created at: April 11, 2026, 3:41 p.m.