Triple

T3860156
Position Surface form Disambiguated ID Type / Status
Subject The Orphanage E90114 entity
Predicate editor P1954 FINISHED
Object Elena Ruiz
Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
 E427346 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: Elena Ruiz | Statement: [The Orphanage, editor, Elena Ruiz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elena Ruiz
Context triple: [The Orphanage, editor, Elena Ruiz]
  • A. Elena Alvarez
    Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
  • B. Elizabeth Avellán
    Elizabeth Avellán is a Venezuelan-American film producer known for co-founding Troublemaker Studios and producing many of Robert Rodriguez’s films.
  • C. Yolanda López
    Yolanda López was a Chicana artist, activist, and educator best known for her influential feminist reinterpretations of the Virgin of Guadalupe and her contributions to Chicano art and social justice movements.
  • D. Ana Martínez
    Ana Martínez is known as the romantic partner of Chilean footballer Diego de Almagro.
  • E. Yolanda Ramos
    Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
  • 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: Elena Ruiz
Triple: [The Orphanage, editor, Elena Ruiz]
Generated description
Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elena Ruiz
Target entity description: Elena Ruiz is a film editor best known for her work on the acclaimed Spanish horror film "The Orphanage."
  • A. Elena Alvarez
    Elena Alvarez is a socially conscious, feminist teenage daughter in the Cuban-American family at the heart of the sitcom "One Day at a Time" (2017).
  • B. Elizabeth Avellán
    Elizabeth Avellán is a Venezuelan-American film producer known for co-founding Troublemaker Studios and producing many of Robert Rodriguez’s films.
  • C. Yolanda López
    Yolanda López was a Chicana artist, activist, and educator best known for her influential feminist reinterpretations of the Virgin of Guadalupe and her contributions to Chicano art and social justice movements.
  • D. Ana Martínez
    Ana Martínez is known as the romantic partner of Chilean footballer Diego de Almagro.
  • E. Yolanda Ramos
    Yolanda Ramos is a Spanish actress and comedian known for her work in television, film, and theater, particularly in Spanish comedy shows and movies.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b74b0cd08190bebb483a72d0b59a completed March 14, 2026, 7:30 p.m.
NEDg Description generation batch_69b5b83759c08190b080565bb1ac8bb4 completed March 14, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5b8be90c88190a4852c625e326f6b completed March 14, 2026, 7:36 p.m.
Created at: March 9, 2026, 3:19 p.m.