Triple

T14627827
Position Surface form Disambiguated ID Type / Status
Subject Óscar Pareja E343398 entity
Predicate familyName P18 FINISHED
Object Pareja
Pareja is a Spanish surname borne by various notable individuals, including Colombian former footballer and coach Óscar Pareja.
 E1110947 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: Pareja | Statement: [Óscar Pareja, familyName, Pareja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pareja
Context triple: [Óscar Pareja, familyName, Pareja]
  • A. Paar
    Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
  • B. Paar
    "Paar" is a critically acclaimed Indian film directed by Goutam Ghose, known for its stark portrayal of social injustice and rural hardship.
  • C. Paar
    Paar is a river in Bavaria, Germany, known for flowing through several towns and rural landscapes before joining the Danube.
  • D. Çifteler
    Çifteler is a town and district in central Turkey known for its agricultural activities and location within Eskişehir Province in the Central Anatolia region.
  • E. Hombre y mujer
    Hombre y mujer is a hyperrealist painting by Spanish artist Antonio López García that depicts an intimate, unidealized view of a couple in a domestic setting.
  • 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: Pareja
Triple: [Óscar Pareja, familyName, Pareja]
Generated description
Pareja is a Spanish surname borne by various notable individuals, including Colombian former footballer and coach Óscar Pareja.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pareja
Target entity description: Pareja is a Spanish surname borne by various notable individuals, including Colombian former footballer and coach Óscar Pareja.
  • A. Paar
    Paar is a surname most notably associated with American television host and comedian Jack Paar, a pioneering figure of late-night talk shows.
  • B. Paar
    "Paar" is a critically acclaimed Indian film directed by Goutam Ghose, known for its stark portrayal of social injustice and rural hardship.
  • C. Paar
    Paar is a river in Bavaria, Germany, known for flowing through several towns and rural landscapes before joining the Danube.
  • D. Çifteler
    Çifteler is a town and district in central Turkey known for its agricultural activities and location within Eskişehir Province in the Central Anatolia region.
  • E. Hombre y mujer
    Hombre y mujer is a hyperrealist painting by Spanish artist Antonio López García that depicts an intimate, unidealized view of a couple in a domestic setting.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4a7c8fc81909d10c1f563d7d1e7 completed April 14, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92c25ac8190ba931c009e7ace19 completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb7e5aa6481908d4933e3932c5d03 completed May 8, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69fdb841f3a88190867c635950a1492c completed May 8, 2026, 10:17 a.m.
Created at: April 10, 2026, 1:26 a.m.