Triple

T1868995
Position Surface form Disambiguated ID Type / Status
Subject Jon Ekstrand E34988 entity
Predicate collaboratesWith P37 FINISHED
Object Daniel Espinosa
Daniel Espinosa is a Swedish film director known for action and thriller films such as "Safe House" and "Life."
E227591 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 Espinosa | Statement: [Jon Ekstrand, collaboratesWith, Daniel Espinosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Espinosa
Context triple: [Jon Ekstrand, collaboratesWith, Daniel Espinosa]
  • A. Rodrigo Prieto
    Rodrigo Prieto is a renowned Mexican cinematographer known for his visually distinctive work on major films by directors such as Martin Scorsese and Alejandro G. Iñárritu.
  • B. David Ortega
    David Ortega is an American architect and politician who serves as the mayor of Scottsdale, Arizona.
  • C. 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.
  • D. Carlos Lemos
    Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
  • E. Eduardo Navarro
    Eduardo Navarro is a contemporary artist known for his conceptual and often participatory works that explore perception, time, and the relationship between humans and their environment.
  • 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 Espinosa
Triple: [Jon Ekstrand, collaboratesWith, Daniel Espinosa]
Generated description
Daniel Espinosa is a Swedish film director known for action and thriller films such as "Safe House" and "Life."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daniel Espinosa
Target entity description: Daniel Espinosa is a Swedish film director known for action and thriller films such as "Safe House" and "Life."
  • A. Rodrigo Prieto
    Rodrigo Prieto is a renowned Mexican cinematographer known for his visually distinctive work on major films by directors such as Martin Scorsese and Alejandro G. Iñárritu.
  • B. David Ortega
    David Ortega is an American architect and politician who serves as the mayor of Scottsdale, Arizona.
  • C. 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.
  • D. Carlos Lemos
    Carlos Lemos was a Brazilian architect known for his work on prominent modernist projects such as São Paulo’s iconic Copan Building.
  • E. Eduardo Navarro
    Eduardo Navarro is a contemporary artist known for his conceptual and often participatory works that explore perception, time, and the relationship between humans and their environment.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b7e4548190a3761133fbbb7b81 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fcb534881908415237d24b4d8b9 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae204fe6148190915219beb27128bc completed March 9, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae20d09c748190aebbfb88f0eedbaa completed March 9, 2026, 1:22 a.m.
Created at: March 4, 2026, 7:34 p.m.