Triple

T20976413
Position Surface form Disambiguated ID Type / Status
Subject Orson Bean E516637 entity
Predicate givenName P17 FINISHED
Object Dallas
Dallas is a masculine given name used in English-speaking countries, borne by various public figures and fictional characters.
E1429735 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: [Orson Bean, givenName, Dallas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dallas
Context triple: [Orson Bean, givenName, 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 a central female character in the classic Western film "Stagecoach," portrayed as a compassionate yet socially ostracized woman whose journey reveals themes of dignity and redemption.
  • D. Dallas
    Dallas is the calm, pragmatic captain of the commercial starship Nostromo in the 1979 science fiction horror film "Alien."
  • 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: [Orson Bean, givenName, Dallas]
Generated description
Dallas is a masculine given name used in English-speaking countries, borne by various public figures and fictional characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dallas
Target entity description: Dallas is a masculine given name used in English-speaking countries, borne by various public figures and fictional characters.
  • A. Dallas chosen
    Dallas is a unisex given name of English origin that has become popular in various English-speaking countries.
  • B. Dallas
    Dallas is a major city in north Texas known for its central role in the assassination of President John F. Kennedy and the subsequent trial of Jack Ruby, as well as for its prominence in commerce, culture, and sports.
  • C. Dallas
    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 character appearing in the "Home Invasion" storyline.
  • E. Dallas
    Dallas is a popular American comic strip created by cartoonist Jim Davis.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba3df2081908c1db5f8610ba43d completed April 21, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09a5a541288190bf46a3555ce49013 completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a79612088190b2cacfa940cbf4da completed May 17, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a09a7f11db48190a737b3d8bfb48edf completed May 17, 2026, 11:35 a.m.
Created at: April 16, 2026, 1:47 p.m.