Triple

T16813894
Position Surface form Disambiguated ID Type / Status
Subject Jean Parker E408688 entity
Predicate spouse P13 FINISHED
Object Douglas Dawson
Douglas Dawson was the husband of American film actress Jean Parker, known primarily in relation to her personal life.
E1267558 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: Douglas Dawson | Statement: [Jean Parker, spouse, Douglas Dawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Dawson
Context triple: [Jean Parker, spouse, Douglas Dawson]
  • A. Glen Dawson
    Glen Dawson was an American mountaineer and rock climber known for pioneering ascents in the Sierra Nevada during the early 20th century.
  • B. Andrew Dawson
    Andrew Dawson is a writer known for his work on the project "What Would Meek Do?".
  • C. Andrew Dawson
    Andrew Dawson is a music producer and audio engineer known for his work on major hip-hop and pop records, including projects with artists like Kanye West.
  • D. Douglas Saint
    Douglas Saint was the husband of English novelist Dora Jessie Saint, better known by her pen name Miss Read.
  • E. Geoffrey Dawson
    Geoffrey Dawson was a British newspaper editor and influential public figure who notably served as editor of The Times during the early 20th century.
  • 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: Douglas Dawson
Triple: [Jean Parker, spouse, Douglas Dawson]
Generated description
Douglas Dawson was the husband of American film actress Jean Parker, known primarily in relation to her personal life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Douglas Dawson
Target entity description: Douglas Dawson was the husband of American film actress Jean Parker, known primarily in relation to her personal life.
  • A. Glen Dawson
    Glen Dawson was an American mountaineer and rock climber known for pioneering ascents in the Sierra Nevada during the early 20th century.
  • B. Andrew Dawson
    Andrew Dawson is a writer known for his work on the project "What Would Meek Do?".
  • C. Andrew Dawson
    Andrew Dawson is a music producer and audio engineer known for his work on major hip-hop and pop records, including projects with artists like Kanye West.
  • D. Douglas Saint
    Douglas Saint was the husband of English novelist Dora Jessie Saint, better known by her pen name Miss Read.
  • E. Geoffrey Dawson
    Geoffrey Dawson was a British newspaper editor and influential public figure who notably served as editor of The Times during the early 20th century.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e01fb8819081cf2c08f29448da completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7e006808190a1b2838a32662ce0 completed May 11, 2026, 9:56 a.m.
NEDg Description generation batch_6a01a912497c8190a8e09e5aaaac591a completed May 11, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_6a01a96980ac81908a40b1e36c31b796 completed May 11, 2026, 10:03 a.m.
Created at: April 10, 2026, 5:23 a.m.