Triple
T179087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The West Wing |
E3643
|
entity |
| Predicate | notableCastMember |
P7010
|
FINISHED |
| Object |
Janel Moloney
Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
|
E99440
|
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: Janel Moloney | Statement: [The West Wing, notableCastMember, Janel Moloney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janel Moloney Context triple: [The West Wing, notableCastMember, Janel Moloney]
-
A.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
-
B.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
-
C.
Colleen Bell
Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
-
D.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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: Janel Moloney Triple: [The West Wing, notableCastMember, Janel Moloney]
Generated description
Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janel Moloney Target entity description: Janel Moloney is an American actress best known for her role as Donna Moss on the political drama television series "The West Wing."
-
A.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
-
B.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
-
C.
Colleen Bell
Colleen Bell is an American television producer and political appointee who served as the U.S. Ambassador to Hungary.
-
D.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a25bafd5808190a0a0cb2b21ce007f |
completed | Feb. 28, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a79273925c8190aba320775ef88061 |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a792fcb75881908562b79005d62b3b |
completed | March 4, 2026, 2:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a793fd988481908ad3c6d2cd46026d |
completed | March 4, 2026, 2:07 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.