Triple
T3083267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Arellano |
E64306
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
El Chileno
El Chileno is the footballing nickname of Chilean player David Arellano, a historic figure and founder of the club Colo-Colo.
|
E325958
|
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 Chileno | Statement: [David Arellano, nickname, El Chileno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Chileno Context triple: [David Arellano, nickname, El Chileno]
-
A.
The Gaucho
The Gaucho is a 1927 silent adventure film starring Douglas Fairbanks as a dashing South American cowboy hero in a tale of romance, action, and redemption.
-
B.
Alas de la Patria
Alas de la Patria is the official motto of the Argentine Air Force, expressing its patriotic mission and identity.
-
C.
Chiquitano
Chiquitano is an indigenous language of the Chiquitano people of eastern Bolivia, particularly associated with the Santa Cruz region.
-
D.
Carmen de Patagones
Carmen de Patagones is a historic town in southern Argentina, known as the oldest settlement in Patagonia and situated on the banks of the Río Negro opposite the city of Viedma.
-
E.
Melena del Sur
Melena del Sur is a coastal municipality in western Cuba known for its agricultural activities and proximity to Havana.
- 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 Chileno Triple: [David Arellano, nickname, El Chileno]
Generated description
El Chileno is the footballing nickname of Chilean player David Arellano, a historic figure and founder of the club Colo-Colo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Chileno Target entity description: El Chileno is the footballing nickname of Chilean player David Arellano, a historic figure and founder of the club Colo-Colo.
-
A.
The Gaucho
The Gaucho is a 1927 silent adventure film starring Douglas Fairbanks as a dashing South American cowboy hero in a tale of romance, action, and redemption.
-
B.
Alas de la Patria
Alas de la Patria is the official motto of the Argentine Air Force, expressing its patriotic mission and identity.
-
C.
Chiquitano
Chiquitano is an indigenous language of the Chiquitano people of eastern Bolivia, particularly associated with the Santa Cruz region.
-
D.
Carmen de Patagones
Carmen de Patagones is a historic town in southern Argentina, known as the oldest settlement in Patagonia and situated on the banks of the Río Negro opposite the city of Viedma.
-
E.
Melena del Sur
Melena del Sur is a coastal municipality in western Cuba known for its agricultural activities and proximity to Havana.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e877008190aacbd6f1357bdb9b |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89847e48190b82849701e119758 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f9608e88819098f4044e54e0d908 |
completed | March 11, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1fe3c8f408190988e7c7e3a51057e |
completed | March 11, 2026, 11:43 p.m. |
Created at: March 8, 2026, 3:03 p.m.