Triple
T14738590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Culp |
E346280
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sheila Sullivan
Sheila Sullivan is an American actress and dancer best known for her work in mid-20th-century film and television and for her marriage to actor Robert Culp.
|
E1222417
|
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: Sheila Sullivan | Statement: [Robert Culp, spouse, Sheila Sullivan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sheila Sullivan Context triple: [Robert Culp, spouse, Sheila Sullivan]
-
A.
Shirley Sullivan
Shirley Sullivan is best known as the mother of American actor Cuba Gooding Jr.
-
B.
Maureen Brady
Maureen Brady is one of the sisters of former NFL quarterback Tom Brady and a member of the Brady family known for its strong athletic background.
-
C.
Margaret O'Leary
Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
-
D.
Maureen Sweeney
Maureen Sweeney is an Irish woman best known for her crucial World War II weather observations that influenced the timing of the D-Day landings.
-
E.
Maureen Callahan
Maureen Callahan is an American journalist, author, and pop culture critic known for her work with publications like the New York Post and her commentary on celebrity and cultural trends.
- 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: Sheila Sullivan Triple: [Robert Culp, spouse, Sheila Sullivan]
Generated description
Sheila Sullivan is an American actress and dancer best known for her work in mid-20th-century film and television and for her marriage to actor Robert Culp.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sheila Sullivan Target entity description: Sheila Sullivan is an American actress and dancer best known for her work in mid-20th-century film and television and for her marriage to actor Robert Culp.
-
A.
Shirley Sullivan
Shirley Sullivan is best known as the mother of American actor Cuba Gooding Jr.
-
B.
Maureen Brady
Maureen Brady is one of the sisters of former NFL quarterback Tom Brady and a member of the Brady family known for its strong athletic background.
-
C.
Margaret O'Leary
Margaret O'Leary is an Irish-born American nurse and educator known for her contributions to nursing practice and education in the United States.
-
D.
Maureen Sweeney
Maureen Sweeney is an Irish woman best known for her crucial World War II weather observations that influenced the timing of the D-Day landings.
-
E.
Maureen Callahan
Maureen Callahan is an American journalist, author, and pop culture critic known for her work with publications like the New York Post and her commentary on celebrity and cultural trends.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73264848190be23c5f0260cbe13 |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007581ba008190a6d558c8f4e861d6 |
completed | May 10, 2026, 12:09 p.m. |
| NEDg | Description generation | batch_6a007680bc7c81908c81ad690035ed47 |
completed | May 10, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:29 a.m.