Triple

T17239049
Position Surface form Disambiguated ID Type / Status
Subject JFK (1991 film) E418439 entity
Predicate settingLocation P40 FINISHED
Object Dallas
Dallas is a major city in northern Texas known for its pivotal role in U.S. history, diverse economy, and prominent cultural and sports institutions.
 E669437 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: Dallas | Statement: [JFK (1991 film), settingLocation, Dallas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dallas
Context triple: [JFK (1991 film), settingLocation, Dallas]
  • A. Dallas
    Dallas is a small city in Paulding County, Georgia, known for its historic downtown and location within the state's mineral-rich Georgia Gold Belt region.
  • B. Dallas
    Dallas is a character appearing in the "Home Invasion" storyline.
  • C. Dallas
    Dallas is the early series of United States Supreme Court case reports compiled by Alexander J. Dallas, covering decisions from the late 18th century before the official U.S. Reports numbering began.
  • D. Dallas
    Dallas is a small borough in northeastern Pennsylvania known as part of the suburban and educational hub of the Wyoming Valley near Wilkes-Barre.
  • E. Dallas
    Dallas is a popular American comic strip created by cartoonist Jim Davis.
  • 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: Dallas
Triple: [JFK (1991 film), settingLocation, Dallas]
Generated description
Dallas is a major city in northern Texas known for its pivotal role in U.S. history, diverse economy, and prominent cultural and sports institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dallas
Target entity description: Dallas is a major city in northern Texas known for its pivotal role in U.S. history, diverse economy, and prominent cultural and sports institutions.
  • A. Dallas
    Dallas is a major city in northern Texas known for its role as a commercial and cultural hub, with a diverse economy, prominent arts scene, and significant historical landmarks.
  • B. Dallas
    Dallas is a major city in northern Texas known for its role as a commercial and cultural hub, particularly in finance, technology, and the energy industry.
  • C. Dallas chosen
    Dallas is a major city in northern Texas known for its role as a commercial and cultural hub, with a prominent skyline, diverse population, and significant influence in business, arts, and sports.
  • D. Dallas
    Dallas is a major city in north Texas known for its role as a commercial and cultural hub, with a rich history in railroads, oil, and telecommunications.
  • E. Dallas
    Dallas is a major city in north Texas known for its role as a commercial and cultural hub, particularly in the energy, telecommunications, and technology industries.
  • F. None of above.

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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfdc8688190aceb223c19a48781 completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a802100819089b8f643373fc5b1 completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020b1d34708190a97bbd8f63bfc8cb completed May 11, 2026, 5 p.m.
NED2 Entity disambiguation (via description) batch_6a0213212dd481908a332a14c1a22392 completed May 11, 2026, 5:34 p.m.
Created at: April 10, 2026, 5:39 a.m.