Triple

T2658628
Position Surface form Disambiguated ID Type / Status
Subject Total Eclipse E54672 entity
Predicate editedBy P1954 FINISHED
Object Teresa Font
Teresa Font is a Spanish film editor known for her work on numerous acclaimed films, including the drama "Total Eclipse."
E285518 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: Teresa Font | Statement: [Total Eclipse, editedBy, Teresa Font]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teresa Font
Context triple: [Total Eclipse, editedBy, Teresa Font]
  • A. Teresa Panza
    Teresa Panza is a fictional character in Miguel de Cervantes' "Don Quixote," known as the practical and down-to-earth wife of the squire Sancho Panza.
  • B. Dolores de Acha
    Dolores de Acha is the mother of Cuban-American actor, musician, and television producer Desi Arnaz.
  • C. Marie Recio
    Marie Recio was a 19th-century French mezzo-soprano best known as the second wife and close companion of composer Hector Berlioz.
  • D. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • E. Teresa
    Teresa is the religious name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
  • 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: Teresa Font
Triple: [Total Eclipse, editedBy, Teresa Font]
Generated description
Teresa Font is a Spanish film editor known for her work on numerous acclaimed films, including the drama "Total Eclipse."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Teresa Font
Target entity description: Teresa Font is a Spanish film editor known for her work on numerous acclaimed films, including the drama "Total Eclipse."
  • A. Teresa Panza
    Teresa Panza is a fictional character in Miguel de Cervantes' "Don Quixote," known as the practical and down-to-earth wife of the squire Sancho Panza.
  • B. Dolores de Acha
    Dolores de Acha is the mother of Cuban-American actor, musician, and television producer Desi Arnaz.
  • C. Marie Recio
    Marie Recio was a 19th-century French mezzo-soprano best known as the second wife and close companion of composer Hector Berlioz.
  • D. María Cortés
    María Cortés was a daughter of the Spanish conquistador Hernán Cortés, belonging to the colonial-era lineage that emerged from his conquests in the Americas.
  • E. Teresa
    Teresa is the religious name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
  • 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_69ab49e028948190b97e01d73548b1d9 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd94dcaa48190aec625f68ce61a02 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98d765c48190a227137467b7dbe1 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af9952a95881908d01aa13f5feef43 completed March 10, 2026, 4:08 a.m.
NED2 Entity disambiguation (via description) batch_69af99e68f10819094d758d3a4bc2e9c completed March 10, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:53 p.m.