Triple

T14173319
Position Surface form Disambiguated ID Type / Status
Subject L.I.E. E351266 entity
Predicate writer P1360 FINISHED
Object Gerald Cuesta
Gerald Cuesta is a screenwriter best known for co-writing the independent film "L.I.E.," a critically acclaimed coming-of-age drama.
 E1141319 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: Gerald Cuesta | Statement: [L.I.E., writer, Gerald Cuesta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gerald Cuesta
Context triple: [L.I.E., writer, Gerald Cuesta]
  • A. Roger Delgado
    Roger Delgado was a British actor best known for originating the role of the Master, the Doctor’s arch-nemesis, in the classic science fiction series Doctor Who.
  • B. Armando Muñiz
    Armando Muñiz is a former Mexican-American professional welterweight boxer known for his world title challenges during the 1970s.
  • C. Ronald Cerritos
    Ronald Cerritos is a retired Salvadoran forward best known for his prolific goal-scoring and playmaking in Major League Soccer, particularly with the San Jose Earthquakes.
  • D. Ronald Mariano
    Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
  • E. Oscar D’León
    Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
  • 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: Gerald Cuesta
Triple: [L.I.E., writer, Gerald Cuesta]
Generated description
Gerald Cuesta is a screenwriter best known for co-writing the independent film "L.I.E.," a critically acclaimed coming-of-age drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gerald Cuesta
Target entity description: Gerald Cuesta is a screenwriter best known for co-writing the independent film "L.I.E.," a critically acclaimed coming-of-age drama.
  • A. Roger Delgado
    Roger Delgado was a British actor best known for originating the role of the Master, the Doctor’s arch-nemesis, in the classic science fiction series Doctor Who.
  • B. Armando Muñiz
    Armando Muñiz is a former Mexican-American professional welterweight boxer known for his world title challenges during the 1970s.
  • C. Ronald Cerritos
    Ronald Cerritos is a retired Salvadoran forward best known for his prolific goal-scoring and playmaking in Major League Soccer, particularly with the San Jose Earthquakes.
  • D. Ronald Mariano
    Ronald Mariano is an American politician serving as Speaker of the Massachusetts House of Representatives.
  • E. Oscar D’León
    Oscar D’León is a renowned Venezuelan salsa singer and bassist, celebrated as one of the genre’s most iconic and influential performers.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b5dcbc8190b0cfcce5e6c6d582 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
NEDg Description generation batch_69fec964fc7c8190ae4217122602f320 completed May 9, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69feca1d6c0c8190ab049644153ef087 completed May 9, 2026, 5:46 a.m.
Created at: April 10, 2026, 1:01 a.m.