Triple

T8449326
Position Surface form Disambiguated ID Type / Status
Subject Four Rooms E199761 entity
Predicate editingBy P1954 FINISHED
Object Margaret Goodspeed
Margaret Goodspeed is a film editor known for her work on the anthology dark comedy film "Four Rooms."
 E735022 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: Margaret Goodspeed | Statement: [Four Rooms, editingBy, Margaret Goodspeed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Margaret Goodspeed
Context triple: [Four Rooms, editingBy, Margaret Goodspeed]
  • A. Helen Sullivan Crothers
    Helen Sullivan Crothers was the longtime wife of American actor and musician Scatman Crothers, with whom she shared a decades-long marriage until his death.
  • B. Gladys Nicholls
    Gladys Nicholls was an Australian Aboriginal activist and community leader known for her work in advancing Indigenous rights and welfare.
  • C. Marion Hutton
    Marion Hutton was an American singer and actress best known as a featured vocalist with the Glenn Miller Orchestra during the big band era.
  • D. Marion Marshall
    Marion Marshall was an American film actress who appeared in numerous Hollywood movies from the 1940s through the 1960s.
  • E. Florence Dempsey
    Florence Dempsey is a spirited young reporter character in the 1933 horror film "Mystery of the Wax Museum," known for her sharp wit and investigative tenacity.
  • 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: Margaret Goodspeed
Triple: [Four Rooms, editingBy, Margaret Goodspeed]
Generated description
Margaret Goodspeed is a film editor known for her work on the anthology dark comedy film "Four Rooms."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Margaret Goodspeed
Target entity description: Margaret Goodspeed is a film editor known for her work on the anthology dark comedy film "Four Rooms."
  • A. Helen Sullivan Crothers
    Helen Sullivan Crothers was the longtime wife of American actor and musician Scatman Crothers, with whom she shared a decades-long marriage until his death.
  • B. Gladys Nicholls
    Gladys Nicholls was an Australian Aboriginal activist and community leader known for her work in advancing Indigenous rights and welfare.
  • C. Marion Hutton
    Marion Hutton was an American singer and actress best known as a featured vocalist with the Glenn Miller Orchestra during the big band era.
  • D. Marion Marshall
    Marion Marshall was an American film actress who appeared in numerous Hollywood movies from the 1940s through the 1960s.
  • E. Florence Dempsey
    Florence Dempsey is a spirited young reporter character in the 1933 horror film "Mystery of the Wax Museum," known for her sharp wit and investigative tenacity.
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe445b7988190b53ae45070c70d1d completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dc85e48819083340d022d0dba9b completed April 2, 2026, 7:42 a.m.
NEDg Description generation batch_69ce1f88d404819096c6024c0e61d1ea completed April 2, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ce209338b48190ba8375200a5529bd completed April 2, 2026, 7:53 a.m.
Created at: March 30, 2026, 6:09 p.m.