Triple

T7674730
Position Surface form Disambiguated ID Type / Status
Subject Crossroads E173832 entity
Predicate hasMainCharacter P1183 FINISHED
Object Miss Diane Lawton
Miss Diane Lawton is a fictional character from the long-running British television soap opera "Crossroads."
E681219 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: Miss Diane Lawton | Statement: [Crossroads, hasMainCharacter, Miss Diane Lawton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Diane Lawton
Context triple: [Crossroads, hasMainCharacter, Miss Diane Lawton]
  • A. Marlene Lawston
    Marlene Lawston is an American actress best known for her role as Jodie Foster’s daughter in the thriller film "Flightplan."
  • B. Ann Lawlor
    Ann Lawlor is a Canadian municipal politician who serves as the mayor of Halton Hills, Ontario.
  • C. Loretta Haggers
    Loretta Haggers is a fictional aspiring country singer and the quirky best friend of the title character on the satirical 1970s television series "Mary Hartman, Mary Hartman."
  • D. Marilee Earle
    Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
  • E. Diane Lucas
    Diane Lucas is a fictional character appearing in the Doctor Who serial "The Silence."
  • 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: Miss Diane Lawton
Triple: [Crossroads, hasMainCharacter, Miss Diane Lawton]
Generated description
Miss Diane Lawton is a fictional character from the long-running British television soap opera "Crossroads."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miss Diane Lawton
Target entity description: Miss Diane Lawton is a fictional character from the long-running British television soap opera "Crossroads."
  • A. Marlene Lawston
    Marlene Lawston is an American actress best known for her role as Jodie Foster’s daughter in the thriller film "Flightplan."
  • B. Ann Lawlor
    Ann Lawlor is a Canadian municipal politician who serves as the mayor of Halton Hills, Ontario.
  • C. Loretta Haggers
    Loretta Haggers is a fictional aspiring country singer and the quirky best friend of the title character on the satirical 1970s television series "Mary Hartman, Mary Hartman."
  • D. Marilee Earle
    Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
  • E. Diane Lucas
    Diane Lucas is a fictional character appearing in the Doctor Who serial "The Silence."
  • 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_69c6995703e0819081de77361b602e78 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701e1e530819086f49f63ba0b7b42 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a234790c8190b1427f99b7f1e5ab completed March 29, 2026, 3:53 a.m.
NEDg Description generation batch_69c8a31b932c8190b8be20c92009210b completed March 29, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3f3b02081909cfb61d34f97fe07 completed March 29, 2026, 4 a.m.
Created at: March 27, 2026, 4 p.m.