Triple

T4441007
Position Surface form Disambiguated ID Type / Status
Subject True Lies E95769 entity
Predicate character P662 FINISHED
Object Simon
Simon is a sleazy used-car salesman and comic-relief character in the action-comedy film "True Lies," who pretends to be a secret agent to seduce women.
E441970 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: Simon | Statement: [True Lies, character, Simon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simon
Context triple: [True Lies, character, Simon]
  • A. Simon
    Simon is the given name of Simon Bolivar Buckner Jr., a U.S. Army lieutenant general who was killed in action while commanding forces during the Battle of Okinawa in World War II.
  • B. Simon
    Simon is a common surname of English and Jewish origin borne by numerous notable individuals across politics, business, arts, and sciences.
  • C. Sam
    Sam is a person whose given name is Sam.
  • D. Sid
    Sid is a supporting character in the film "The Descendants," contributing to the story’s emotional and comedic dynamics around a family coping with loss and change.
  • E. Sid
    Sid is the clumsy yet lovable sloth who serves as one of the main comedic protagonists in the Ice Age animated film series.
  • 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: Simon
Triple: [True Lies, character, Simon]
Generated description
Simon is a sleazy used-car salesman and comic-relief character in the action-comedy film "True Lies," who pretends to be a secret agent to seduce women.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simon
Target entity description: Simon is a sleazy used-car salesman and comic-relief character in the action-comedy film "True Lies," who pretends to be a secret agent to seduce women.
  • A. Simon
    Simon is the given name of Simon Bolivar Buckner Jr., a U.S. Army lieutenant general who was killed in action while commanding forces during the Battle of Okinawa in World War II.
  • B. Simon
    Simon is a common surname of English and Jewish origin borne by numerous notable individuals across politics, business, arts, and sciences.
  • C. Sam
    Sam is a person whose given name is Sam.
  • D. Sid
    Sid is a supporting character in the film "The Descendants," contributing to the story’s emotional and comedic dynamics around a family coping with loss and change.
  • E. Sid
    Sid is the clumsy yet lovable sloth who serves as one of the main comedic protagonists in the Ice Age animated film series.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355ad71588190b1dcad4250472c29 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
NEDg Description generation batch_69b6295218e88190a48e8bfeb2febe2e completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62b05bcec8190a0c8d1c0e5a62c75 completed March 15, 2026, 3:44 a.m.
Created at: March 12, 2026, 11:32 p.m.