Triple
T20080729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chino Darín |
E499991
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
El Ángel
El Ángel is an Argentine crime drama film that portrays the life of a charming yet remorseless young serial killer in 1970s Buenos Aires.
|
E1410150
|
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: El Ángel | Statement: [Chino Darín, notableWork, El Ángel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Ángel Context triple: [Chino Darín, notableWork, El Ángel]
-
A.
El Ángel
El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
-
B.
The Angel
The Angel is a historic British inn and public house, often noted for its traditional architecture and role as a local social and lodging landmark.
-
C.
The Angel
The Angel is a powerful, otherworldly messenger who appears in Tony Kushner’s play "Angels in America," symbolizing divine intervention, prophecy, and the tension between stasis and change.
-
D.
The Angel
The Angel is a film featuring British actor Adeel Akhtar in a prominent role.
-
E.
The Angel
"The Angel" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its poetic lyrics and reflective, piano-driven style.
- 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: El Ángel Triple: [Chino Darín, notableWork, El Ángel]
Generated description
El Ángel is an Argentine crime drama film that portrays the life of a charming yet remorseless young serial killer in 1970s Buenos Aires.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Ángel Target entity description: El Ángel is an Argentine crime drama film that portrays the life of a charming yet remorseless young serial killer in 1970s Buenos Aires.
-
A.
El Ángel
El Ángel is a famous victory column and iconic symbol of Mexico City commemorating the country’s independence.
-
B.
The Angel
The Angel is a film featuring British actor Adeel Akhtar in a prominent role.
-
C.
The Angel
The Angel is a historic British inn and public house, often noted for its traditional architecture and role as a local social and lodging landmark.
-
D.
The Angel
The Angel is a powerful, otherworldly messenger who appears in Tony Kushner’s play "Angels in America," symbolizing divine intervention, prophecy, and the tension between stasis and change.
-
E.
The Angel
"The Angel" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its poetic lyrics and reflective, piano-driven style.
- 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_6a081f4590748190864820afe557d4cd |
completed | May 16, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_6a08208118c0819093dee2c851c9999f |
completed | May 16, 2026, 7:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0821637b008190a410ca9f89fecf8f |
completed | May 16, 2026, 7:48 a.m. |
Created at: April 11, 2026, 3:41 p.m.