Triple

T13640310
Position Surface form Disambiguated ID Type / Status
Subject Arellano E325955 entity
Predicate hasNotableBearer P458 FINISHED
Object Daniel Arellano (footballer)
Daniel Arellano is a professional footballer known for his career in competitive club soccer.
 E1053575 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: Daniel Arellano (footballer) | Statement: [Arellano, hasNotableBearer, Daniel Arellano (footballer)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Daniel Arellano (footballer)
Context triple: [Arellano, hasNotableBearer, Daniel Arellano (footballer)]
  • A. David Arellano
    David Arellano was a Chilean footballer and influential early 20th-century sports figure best known for co-founding and starring for the club Colo-Colo.
  • B. Roberto Henríquez
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • C. Adrián Sosa
    Adrián Sosa is a musician best known as a member of the Latin Grammy–winning Río de la Plata music collective Bajofondo, which blends tango with electronic and contemporary styles.
  • D. Alejandro Sosa
    Alejandro Sosa is a powerful Bolivian drug lord and primary antagonist in the 1983 crime film "Scarface."
  • E. Raul Hernandez
    Raul Hernandez was a member of Brigade 2506, the CIA-backed Cuban exile force that participated in the failed 1961 Bay of Pigs invasion against Fidel Castro’s government.
  • 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: Daniel Arellano (footballer)
Triple: [Arellano, hasNotableBearer, Daniel Arellano (footballer)]
Generated description
Daniel Arellano is a professional footballer known for his career in competitive club soccer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Daniel Arellano (footballer)
Target entity description: Daniel Arellano is a professional footballer known for his career in competitive club soccer.
  • A. David Arellano
    David Arellano was a Chilean footballer and influential early 20th-century sports figure best known for co-founding and starring for the club Colo-Colo.
  • B. Roberto Henríquez
    Roberto Henríquez is an editor known for his work on the film "Brave."
  • C. Adrián Sosa
    Adrián Sosa is a musician best known as a member of the Latin Grammy–winning Río de la Plata music collective Bajofondo, which blends tango with electronic and contemporary styles.
  • D. Alejandro Sosa
    Alejandro Sosa is a powerful Bolivian drug lord and primary antagonist in the 1983 crime film "Scarface."
  • E. Raul Hernandez
    Raul Hernandez was a member of Brigade 2506, the CIA-backed Cuban exile force that participated in the failed 1961 Bay of Pigs invasion against Fidel Castro’s government.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5aac7308190a3fd26baeade8f2a completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af46fe481909c6f9a6f58f887d1 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd52b748190ab483ec7634a6549 completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78d277c5c8190970cb3cd0fd32905 completed May 3, 2026, 6 p.m.
Created at: April 9, 2026, 9:51 p.m.