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.