Triple

T8527084
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Sidney E201843 entity
Predicate spouse P13 FINISHED
Object Carlton Alsop
Carlton Alsop was an American literary agent and the third husband of actress Sylvia Sidney.
E741868 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: Carlton Alsop | Statement: [Sylvia Sidney, spouse, Carlton Alsop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carlton Alsop
Context triple: [Sylvia Sidney, spouse, Carlton Alsop]
  • A. John Harbison
    John Harbison is an American composer renowned for his orchestral, chamber, choral, and operatic works, and for his influential role in contemporary classical music.
  • B. Jerome Moross
    Jerome Moross was an American composer best known for his sweeping, Americana-infused film scores and concert works, particularly in the Western genre.
  • C. Randall Thompson
    Randall Thompson was a prominent 20th-century American composer best known for his choral works, including the frequently performed piece "Alleluia."
  • D. Eric Coates
    Eric Coates was a British computer scientist known for his involvement in early information retrieval and classification research, including work with the influential Classification Research Group.
  • E. Eric Coates
    Eric Coates was a British composer best known for his light orchestral music and popular marches that became widely familiar through radio and film.
  • 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: Carlton Alsop
Triple: [Sylvia Sidney, spouse, Carlton Alsop]
Generated description
Carlton Alsop was an American literary agent and the third husband of actress Sylvia Sidney.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carlton Alsop
Target entity description: Carlton Alsop was an American literary agent and the third husband of actress Sylvia Sidney.
  • A. John Harbison
    John Harbison is an American composer renowned for his orchestral, chamber, choral, and operatic works, and for his influential role in contemporary classical music.
  • B. Jerome Moross
    Jerome Moross was an American composer best known for his sweeping, Americana-infused film scores and concert works, particularly in the Western genre.
  • C. Randall Thompson
    Randall Thompson was a prominent 20th-century American composer best known for his choral works, including the frequently performed piece "Alleluia."
  • D. Eric Coates
    Eric Coates was a British computer scientist known for his involvement in early information retrieval and classification research, including work with the influential Classification Research Group.
  • E. Eric Coates
    Eric Coates was a British composer best known for his light orchestral music and popular marches that became widely familiar through radio and film.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:16 p.m.