Triple
T9866480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Crenna |
E239844
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Penni Sweeney
Penni Sweeney is best known as the wife of American actor and director Richard Crenna.
|
E825828
|
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: Penni Sweeney | Statement: [Richard Crenna, spouse, Penni Sweeney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penni Sweeney Context triple: [Richard Crenna, spouse, Penni Sweeney]
-
A.
Maureen McCann
Maureen McCann is the wife of English actor, comedian, and writer Simon Pegg.
-
B.
Siobhan Sheehan
Siobhan Sheehan is a character from the television series "Mare of Easttown," known as the teenage daughter of the titular detective, Mare Sheehan.
-
C.
Marisa Coughlan
Marisa Coughlan is an American actress best known for her roles in films like "Teaching Mrs. Tingle" and the cult comedy "Super Troopers," as well as various television appearances.
-
D.
Siobhan Walsh
Siobhan Walsh is an Irish humanitarian and development leader known for her work with international aid organizations and efforts to combat global poverty and hunger.
-
E.
Rachael MacFarlane
Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
- 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: Penni Sweeney Triple: [Richard Crenna, spouse, Penni Sweeney]
Generated description
Penni Sweeney is best known as the wife of American actor and director Richard Crenna.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Penni Sweeney Target entity description: Penni Sweeney is best known as the wife of American actor and director Richard Crenna.
-
A.
Maureen McCann
Maureen McCann is the wife of English actor, comedian, and writer Simon Pegg.
-
B.
Siobhan Sheehan
Siobhan Sheehan is a character from the television series "Mare of Easttown," known as the teenage daughter of the titular detective, Mare Sheehan.
-
C.
Marisa Coughlan
Marisa Coughlan is an American actress best known for her roles in films like "Teaching Mrs. Tingle" and the cult comedy "Super Troopers," as well as various television appearances.
-
D.
Siobhan Walsh
Siobhan Walsh is an Irish humanitarian and development leader known for her work with international aid organizations and efforts to combat global poverty and hunger.
-
E.
Rachael MacFarlane
Rachael MacFarlane is an American voice actress and singer best known for her work on animated television series, including voicing Hayley Smith on "American Dad!"
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d091e48190b10463562d0dc461 |
completed | April 2, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e4544d008190a70ec0d490da8ef2 |
completed | April 5, 2026, 4:25 a.m. |
| NEDg | Description generation | batch_69d1e5204f748190b1f56ee5469828a2 |
completed | April 5, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e598243481909278cb3c911ce3db |
completed | April 5, 2026, 4:31 a.m. |
Created at: March 30, 2026, 8:36 p.m.